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I'm hiring a Senior Founding backend engineer for my venture-backend startup at the pre-seed/seed stage.

Location: Montreal, QC

REQ ID FEQ327R72

We are looking for pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Sr. Solutions Engineer defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the greater region.

The impact you will have:

• You work with multiple clients as the main technical voice for Databricks.
• You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
• You implement the technical strategy in the account, in close understanding of the strategy.
• You build a movement of technical champions within the account.
• You align technical strategies around Databricks solutions.
• You work with your sales team and technical peers to drive business outcomes for our clients

What we look for:

• Proficiency at establishing virtual teams, and leading them to ultimate success within the account.
• Experience working very large (> $1m ARR), global accounts.
• Form relationships with executives and influencers.
• Present a convincing point-of-view to important decision-makers that leads them down a path of success.
• Technical in big data, data science and cloud (Azure & AWS).
• An ability in data-driven business transformation, and driving change with data.
• Production programming experience in Python, R, Scala or Java
• Nice to have: Databricks, Snowflake, AWS or Azure Certification

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.



Canada Pay Range
$139,700-$192,050 CAD
About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark", Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Ideally in US or Canada and you must have experience and work designing merch and logo for musicians

At Hugging Face, we're on a journey to democratize good AI. We're building the fastest-growing platform for AI builders, with over 5 million users and 100k organizations who have shared more than 1M models, 300k datasets, and 300k apps. Our open-source libraries have more than 400k stars on GitHub.

About the Role

As our first Data/Infrastructure Advocate Engineer, you'll bridge the gap between cutting-edge data infrastructure and the global community of data engineers, researchers, and developers. You'll champion Xet storage on the Hugging Face Hub, helping users efficiently store, version, and collaborate on large-scale datasets. This role is for someone who thrives at the intersection of technical depth (storage, Parquet, deduplication) and community advocacy, helping define the future of open data workflows.

You'll collaborate with teams like Datasets, Hub, and Infrastructure to shape how developers interact with data on our platform, and inspire a community to build better, faster, and more scalable data pipelines.

Your main missions

• Grow and nurture the open-source data/infra community: launch initiatives, collaborate with data-focused groups, and organize events or challenges. Engage with communities like Apache Parquet, Open Table Formats, and data engineering forums to promote best practices and Hugging Face tools.
• Promote the Hugging Face Hub as the go-to platform for data storage, versioning, and collaboration, curating and showcasing datasets, benchmarks, and tools like Xet.
• Highlight use cases like efficient large-dataset updates, Parquet editing, and deduplication to demonstrate the Hub's value for data workflows.
• Create demos, benchmarks, and tools (for example Colab notebooks) that illustrate best practices for data storage and versioning, and experiment with Xet, Parquet, and other formats.
• Produce high-quality tutorials, blog posts, and videos that make complex topics accessible.
• Share insights on storage optimization, dataset versioning, and deduplication to empower developers.
• Actively participate in online communities (Discord, GitHub, forums) to highlight contributions, answer questions, and foster collaboration.
• Make sure datasets and tools released on the Hub are well-documented, with clear examples, benchmarks, and use cases.

About You

You're already an active voice in the data and ML community. You build in public, you publish, and people follow your work on LinkedIn and X.

You're a hands-on builder who loves experimenting with data tools, storage optimization, and dataset versioning. You can take a complex topic like deduplication, compression, or Parquet editing and make it click for other developers through writing, demos, or talks. You're passionate about open source and knowledge sharing, and you thrive in fast-moving environments.

What you'll need

• 3+ years in developer relations or developer advocacy, ideally for data engineering, infrastructure, or ML tools and platforms
• An established public presence as a technical voice, with a track record of regularly publishing data/infra/ML content and a demonstrable, engaged audience on LinkedIn and X (Twitter)
• A portfolio of developer-facing content you can point to: tutorials, blog posts, videos, demos, benchmarks, or conference talks
• Hands-on experience building and engaging open-source or developer communities (Discord, GitHub, forums)
• Strong Python skills
• Hands-on experience with data libraries such as pandas, pyarrow, and huggingface/datasets
• Practical experience with storage systems and formats: Parquet, Open Table Formats, and S3
• Working knowledge of dataset versioning, deduplication, and compression
• Ability to explain complex technical topics clearly through writing, demos, or talks
• Fluent written and spoken English

Nice to have

• Experience with the Hugging Face Hub and datasets ecosystem, or with Xet
• Open-source maintainer or contributor experience
• Familiarity with large-scale data pipelines and data engineering workflows
• Experience producing notebooks (for example Colab) for tutorials and benchmarks

A note on fit

If you're interested in joining us but don't tick every box above, we still encourage you to apply. We're building a diverse team whose skills, experiences, and backgrounds complement one another, and we're happy to consider where you might make the biggest impact.

How to apply

At Hugging Face we believe great AI shouldn't require a massive cluster, we build for everyone, especially the GPU-poor. And because we genuinely read every application, here's a small sign that you read this one too: start your cover letter with the words “GPU-poor and proud of it >” so we know you read the full description. No trick, no catch, it just tells us a real person is on the other side.

More about Hugging Face

We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where you feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community, as well as the future of machine learning more broadly. Hugging Face is an equal opportunity employer, and we do not discriminate based on race, ethnicity, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or ability status.

We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to grow continuously. We provide all employees with reimbursement for relevant conferences, training, and education.

We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off.

We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed, and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.

We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.

At Hugging Face, we're on a journey to democratize good AI. We're building the fastest-growing platform for AI builders, with over 11 million users who have shared more than 2M models, 700k datasets, and 600k apps. Our open-source libraries have more than 600k stars on GitHub.

About the Role

As an Open-Source Machine Learning Engineer, you'll work to improve the open-source machine learning ecosystem. You'll mainly work on existing open-source libraries such as Transformers, Datasets, Pytorch and vLLM, and you'll interact with users and contributors across the broad open-source ML ecosystem. We'll brainstorm with you to put you in a position to do the work that interests you and that is impactful.

You'll help foster one of the most active machine learning communities, helping users contribute to and use the tools you build. You'll work with researchers, ML practitioners, and data scientists every day through GitHub, our forums, and Slack.

About You

You have a public track record of open-source work, and you enjoy collaborating with a community out in the open on GitHub. You love open source, you're passionate about making complex technology more accessible, and you want to contribute to one of the fastest-growing ML ecosystems. If that's you, we can't wait to see your application.

What you'll need

• Strong Python skills, with experience writing clean, well-tested, maintainable library code
• Deep hands-on experience with a modern deep-learning framework, especially PyTorch (JAX or TensorFlow a plus)
• Practical experience with the Hugging Face open-source stack (Transformers, Datasets, Accelerate) or comparable ML libraries
• A public track record of open-source contributions, for example merged pull requests to ML or data libraries, that we can review on GitHub
• Solid understanding of modern machine learning and deep learning, including transformer architectures
• Experience collaborating with a technical community in the open (GitHub issues and reviews, forums, Slack or Discord)
• Fluent written English for asynchronous collaboration across a distributed, global community

Nice to have

• Experience maintaining an open-source project
• Prior contributions to Transformers, Datasets, Accelerate, or similar libraries
• Familiarity with distributed training, inference optimization, or GPU/accelerator performance work
• Experience training or fine-tuning models at scale

A note on fit

If you're interested in joining us but don't tick every box above, we still encourage you to apply. We're building a diverse team whose skills, experiences, and backgrounds complement one another, and we're happy to consider where you might make the biggest impact.

How to apply

At Hugging Face we believe great AI shouldn't require a massive cluster, we build for everyone, especially the GPU-poor. And because we genuinely read every application, here's a small sign that you read this one too: start your cover letter with the words “GPU-poor and proud of it >” so we know you read the full description. No trick, no catch, it just tells us a real person is on the other side.

More about Hugging Face

We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.

We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off.

We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.

We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.

We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

Requirements

Please provide a cover letter mentioning why you would like to work in open-source at Hugging Face. We encourage you to mention your skills, potential expertise, and topics on which you would like to work.

At Hugging Face, we're on a journey to democratize good AI. We're building the fastest-growing platform for AI builders, with over 11 million users who have shared more than 2M models, 700k datasets, and 600k apps. Our open-source libraries have more than 600k stars on GitHub.

About the Role

As an Open-Source Machine Learning Engineer, you'll work to improve the open-source machine learning ecosystem. You'll mainly work on existing open-source libraries such as Transformers, Datasets, Pytorch and vLLM, and you'll interact with users and contributors across the broad open-source ML ecosystem. We'll brainstorm with you to put you in a position to do the work that interests you and that is impactful.

You'll help foster one of the most active machine learning communities, helping users contribute to and use the tools you build. You'll work with researchers, ML practitioners, and data scientists every day through GitHub, our forums, and Slack.

About You

You have a public track record of open-source work, and you enjoy collaborating with a community out in the open on GitHub. You love open source, you're passionate about making complex technology more accessible, and you want to contribute to one of the fastest-growing ML ecosystems. If that's you, we can't wait to see your application.

What you'll need

• Strong Python skills, with experience writing clean, well-tested, maintainable library code
• Deep hands-on experience with a modern deep-learning framework, especially PyTorch (JAX or TensorFlow a plus)
• Practical experience with the Hugging Face open-source stack (Transformers, Datasets, Accelerate) or comparable ML libraries
• A public track record of open-source contributions, for example merged pull requests to ML or data libraries, that we can review on GitHub
• Solid understanding of modern machine learning and deep learning, including transformer architectures
• Experience collaborating with a technical community in the open (GitHub issues and reviews, forums, Slack or Discord)
• Fluent written English for asynchronous collaboration across a distributed, global community

Nice to have

• Experience maintaining an open-source project
• Prior contributions to Transformers, Datasets, Accelerate, or similar libraries
• Familiarity with distributed training, inference optimization, or GPU/accelerator performance work
• Experience training or fine-tuning models at scale

A note on fit

If you're interested in joining us but don't tick every box above, we still encourage you to apply. We're building a diverse team whose skills, experiences, and backgrounds complement one another, and we're happy to consider where you might make the biggest impact.

How to apply

At Hugging Face we believe great AI shouldn't require a massive cluster, we build for everyone, especially the GPU-poor. And because we genuinely read every application, here's a small sign that you read this one too: start your cover letter with the words “GPU-poor and proud of it >” so we know you read the full description. No trick, no catch, it just tells us a real person is on the other side.

More about Hugging Face

We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.

We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off.

We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.

We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.

We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

Requirements

Please provide a cover letter mentioning why you would like to work in open-source at Hugging Face. We encourage you to mention your skills, potential expertise, and topics on which you would like to work.

At Hugging Face, we're on a journey to democratize good AI. We're building the fastest-growing platform for AI builders, with over 11 million users who have shared more than 2M models, 700k datasets, and 600k apps. Our open-source libraries have more than 600k stars on GitHub.

About the Role

As a Cloud ML DevRel Engineer, your goal is to grow the impact of the Hugging Face ML Cloud team by teaching the community of ML practitioners how to accelerate their training and inference workloads.

The ML Cloud team works through strategic collaborations with the most widely used clouds (AWS, GCP, Azure, Cloudflare), AI accelerators (NVIDIA, AMD, Intel Gaudi, AWS Inferentia, TPU), and systems partners (Dell, Nutanix), to make it easy for the community to run Hugging Face models and libraries on these platforms. These partnerships sit at the core of our strategy as an open platform with no customer lock-in, and of how we drive usage and revenue for our partners.

This is a solid engineering role with a strong flavor of education and community. Your impact comes from driving visibility and usage of partner integrations, through work like:

• Publishing technical blog posts
• Contributing documentation and code examples
• Speaking to business and technical audiences at partner conferences
• Producing and running webinars
• Building and showing off demos
• Leading go-to-market conversations with strategic partners

You'll work at the front edge of generative AI and open source, hand in hand with some of the most important companies in the field. You'll have a lot of autonomy and full creative control, with the goal of having 10x the impact of a similar role at a big tech company.

About You

You're already an active voice in the ML community. You publish, you teach, and people follow your work on LinkedIn and X.

You care about ML engineering, building practical AI applications, shipping them to production, and squeezing the most out of the cloud to accelerate them. You like learning hard engineering concepts and talking them through with other engineers, and you take pride in code that's easy to read. You're a strong communicator and educator, and you enjoy engaging with the ML community in a positive, helpful way.

What you'll need

• 3+ years in developer relations or developer advocacy, specifically for ML or AI products, tools, or platforms
• An established public presence as a technical voice, with a track record of regularly publishing ML/AI content and a demonstrable, engaged audience on LinkedIn and X (Twitter)
• A portfolio of developer-facing content you can point to: technical blog posts, conference talks, demos, code examples, or documentation
• Comfort and experience with public speaking to technical audiences (conferences, webinars, workshops)
• 3+ years of hands-on ML or software engineering experience, including taking models to production
• Experience training or deploying ML models on at least one major cloud (AWS, GCP, or Azure)
• Proficiency in Python
• Practical experience with the Hugging Face stack (Transformers, the Hub, Inference Endpoints) or comparable open-source ML libraries
• Working knowledge of GPUs or AI accelerators (NVIDIA, AMD, Intel Gaudi, AWS Inferentia, or TPU) and of training and inference optimization
• Fluent written and spoken English

Nice to have

• Open-source maintainer or contributor experience
• An active presence in other developer communities (GitHub, Reddit, YouTube, Discord)
• Familiarity with containers and orchestration (Docker, Kubernetes)
• Experience with distributed training or inference-serving frameworks (for example vLLM, TGI, or Ray)

One more thing

At Hugging Face we believe great AI shouldn't require a massive cluster, we build for everyone, especially the GPU-poor. And because we read every application, here's a small sign that you read this one too: start your answer to the first application question with the words “GPU-poor and proud”. No trick, no catch, it just tells us a real person is on the other side. >

More about Hugging Face

We are actively working to build a culture that values diversity, equity, and inclusivity.We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We value development.You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.

We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off.

We support our employees wherever they are. While we have office spaces in NYC and Paris, we’re very distributed and all remote employees have the opportunity to visit our offices. If needed, we’ll also outfit your workstation to ensure you succeed.

We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.

We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

At Hugging Face, we're on a journey to democratize good AI. We're building the fastest-growing platform for AI builders, with over 5 million users and 100k organizations who have shared more than 1M models, 300k datasets, and 300k apps. Our open-source libraries have more than 400k stars on GitHub.

About the Role

As our first Data/Infrastructure Advocate Engineer, you'll bridge the gap between cutting-edge data infrastructure and the global community of data engineers, researchers, and developers. You'll champion Xet storage on the Hugging Face Hub, helping users efficiently store, version, and collaborate on large-scale datasets. This role is for someone who thrives at the intersection of technical depth (storage, Parquet, deduplication) and community advocacy, helping define the future of open data workflows.

You'll collaborate with teams like Datasets, Hub, and Infrastructure to shape how developers interact with data on our platform, and inspire a community to build better, faster, and more scalable data pipelines.

Your main missions

• Grow and nurture the open-source data/infra community: launch initiatives, collaborate with data-focused groups, and organize events or challenges. Engage with communities like Apache Parquet, Open Table Formats, and data engineering forums to promote best practices and Hugging Face tools.
• Promote the Hugging Face Hub as the go-to platform for data storage, versioning, and collaboration, curating and showcasing datasets, benchmarks, and tools like Xet.
• Highlight use cases like efficient large-dataset updates, Parquet editing, and deduplication to demonstrate the Hub's value for data workflows.
• Create demos, benchmarks, and tools (for example Colab notebooks) that illustrate best practices for data storage and versioning, and experiment with Xet, Parquet, and other formats.
• Produce high-quality tutorials, blog posts, and videos that make complex topics accessible.
• Share insights on storage optimization, dataset versioning, and deduplication to empower developers.
• Actively participate in online communities (Discord, GitHub, forums) to highlight contributions, answer questions, and foster collaboration.
• Make sure datasets and tools released on the Hub are well-documented, with clear examples, benchmarks, and use cases.

About You

You're already an active voice in the data and ML community. You build in public, you publish, and people follow your work on LinkedIn and X.

You're a hands-on builder who loves experimenting with data tools, storage optimization, and dataset versioning. You can take a complex topic like deduplication, compression, or Parquet editing and make it click for other developers through writing, demos, or talks. You're passionate about open source and knowledge sharing, and you thrive in fast-moving environments.

What you'll need

• 3+ years in developer relations or developer advocacy, ideally for data engineering, infrastructure, or ML tools and platforms
• An established public presence as a technical voice, with a track record of regularly publishing data/infra/ML content and a demonstrable, engaged audience on LinkedIn and X (Twitter)
• A portfolio of developer-facing content you can point to: tutorials, blog posts, videos, demos, benchmarks, or conference talks
• Hands-on experience building and engaging open-source or developer communities (Discord, GitHub, forums)
• Strong Python skills
• Hands-on experience with data libraries such as pandas, pyarrow, and huggingface/datasets
• Practical experience with storage systems and formats: Parquet, Open Table Formats, and S3
• Working knowledge of dataset versioning, deduplication, and compression
• Ability to explain complex technical topics clearly through writing, demos, or talks
• Fluent written and spoken English

Nice to have

• Experience with the Hugging Face Hub and datasets ecosystem, or with Xet
• Open-source maintainer or contributor experience
• Familiarity with large-scale data pipelines and data engineering workflows
• Experience producing notebooks (for example Colab) for tutorials and benchmarks

A note on fit

If you're interested in joining us but don't tick every box above, we still encourage you to apply. We're building a diverse team whose skills, experiences, and backgrounds complement one another, and we're happy to consider where you might make the biggest impact.

How to apply

At Hugging Face we believe great AI shouldn't require a massive cluster, we build for everyone, especially the GPU-poor. And because we genuinely read every application, here's a small sign that you read this one too: start your cover letter with the words “GPU-poor and proud of it >” so we know you read the full description. No trick, no catch, it just tells us a real person is on the other side.

More about Hugging Face

We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where you feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community, as well as the future of machine learning more broadly. Hugging Face is an equal opportunity employer, and we do not discriminate based on race, ethnicity, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or ability status.

We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to grow continuously. We provide all employees with reimbursement for relevant conferences, training, and education.

We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off.

We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed, and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.

We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.

At Hugging Face, we're on a journey to democratize good AI. We're building the fastest-growing platform for AI builders, with over 11 million users who have shared more than 2M models, 700k datasets, and 600k apps. Our open-source libraries have more than 600k stars on GitHub.

About the Role

As a Cloud ML DevRel Engineer, your goal is to grow the impact of the Hugging Face ML Cloud team by teaching the community of ML practitioners how to accelerate their training and inference workloads.

The ML Cloud team works through strategic collaborations with the most widely used clouds (AWS, GCP, Azure, Cloudflare), AI accelerators (NVIDIA, AMD, Intel Gaudi, AWS Inferentia, TPU), and systems partners (Dell, Nutanix), to make it easy for the community to run Hugging Face models and libraries on these platforms. These partnerships sit at the core of our strategy as an open platform with no customer lock-in, and of how we drive usage and revenue for our partners.

This is a solid engineering role with a strong flavor of education and community. Your impact comes from driving visibility and usage of partner integrations, through work like:

• Publishing technical blog posts
• Contributing documentation and code examples
• Speaking to business and technical audiences at partner conferences
• Producing and running webinars
• Building and showing off demos
• Leading go-to-market conversations with strategic partners

You'll work at the front edge of generative AI and open source, hand in hand with some of the most important companies in the field. You'll have a lot of autonomy and full creative control, with the goal of having 10x the impact of a similar role at a big tech company.

About You

You're already an active voice in the ML community. You publish, you teach, and people follow your work on LinkedIn and X.

You care about ML engineering, building practical AI applications, shipping them to production, and squeezing the most out of the cloud to accelerate them. You like learning hard engineering concepts and talking them through with other engineers, and you take pride in code that's easy to read. You're a strong communicator and educator, and you enjoy engaging with the ML community in a positive, helpful way.

What you'll need

• 3+ years in developer relations or developer advocacy, specifically for ML or AI products, tools, or platforms
• An established public presence as a technical voice, with a track record of regularly publishing ML/AI content and a demonstrable, engaged audience on LinkedIn and X (Twitter)
• A portfolio of developer-facing content you can point to: technical blog posts, conference talks, demos, code examples, or documentation
• Comfort and experience with public speaking to technical audiences (conferences, webinars, workshops)
• 3+ years of hands-on ML or software engineering experience, including taking models to production
• Experience training or deploying ML models on at least one major cloud (AWS, GCP, or Azure)
• Proficiency in Python
• Practical experience with the Hugging Face stack (Transformers, the Hub, Inference Endpoints) or comparable open-source ML libraries
• Working knowledge of GPUs or AI accelerators (NVIDIA, AMD, Intel Gaudi, AWS Inferentia, or TPU) and of training and inference optimization
• Fluent written and spoken English

Nice to have

• Open-source maintainer or contributor experience
• An active presence in other developer communities (GitHub, Reddit, YouTube, Discord)
• Familiarity with containers and orchestration (Docker, Kubernetes)
• Experience with distributed training or inference-serving frameworks (for example vLLM, TGI, or Ray)

One more thing

At Hugging Face we believe great AI shouldn't require a massive cluster, we build for everyone, especially the GPU-poor. And because we read every application, here's a small sign that you read this one too: start your answer to the first application question with the words “GPU-poor and proud”. No trick, no catch, it just tells us a real person is on the other side. >

More about Hugging Face

We are actively working to build a culture that values diversity, equity, and inclusivity.We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We value development.You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.

We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off.

We support our employees wherever they are. While we have office spaces in NYC and Paris, we’re very distributed and all remote employees have the opportunity to visit our offices. If needed, we’ll also outfit your workstation to ensure you succeed.

We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.

We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

Job Summary
In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Key Responsibilities:

1. Design and implement checkers for competitive programming problems with multiple valid outputs, ensuring accuracy and robustness.
2. Evaluate and validate participant submissions against complex problem statements sourced from platforms like Codeforces.
3. Collaborate with the customer's team to fine-tune problem requirements and clarify ambiguous scenarios.
4. Develop clear, maintainable code in C++ to assess diverse outputs and edge cases efficiently.
5. Document checker logic and communicate intricacies or edge cases in both written and verbal form.
6. Provide feedback to problem setters and reviewers on potential improvements to test cases and checkers.
7. Stay updated with evolving competitive programming standards and incorporate best practices into checker development.

Required Skills and Qualifications:

1. Expertise in competitive programming and coding problem analysis.
2. Advanced proficiency in C++ for implementing robust checker solutions.
3. Strong analytical abilities to interpret complex problem constraints and multiple solution paths.
4. Exceptional written and verbal communication skills; ability to articulate technical details clearly.
5. Meticulous attention to detail in code validation and output consistency.
6. Experience working independently in a remote, collaborative environment.
7. Commitment to producing high-quality, well-documented code under tight deadlines.

Preferred Qualifications:

1. Prior experience as a problem setter, tester, or checker on major competitive programming platforms.
2. Familiarity with AI or software systems leveraging competitive programming data.

Evaluation Process

• Apply here - Link

This just opened up, sign up, complete the application steps. You will get an offer within a few days. Also, check out the available jobs page and sort by newest, you might find something you like. I just had 70 offers go out this week alone. Generalist - https://t.mercor.com/dYoVY We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. # Contract and Payment Terms You will be engaged as an independent contractor. This is a fully remote role that can be completed on your own schedule. Projects can be extended, shortened, or concluded early depending on needs and performance. Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution. Payments are weekly on Stripe or Wise based on services rendered. Please note: We are unable to support H1-B or STEM OPT candidates at this time.

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

OVERVIEW

The Advertiser Success Team is a collaborative, empowered and solution-oriented team focused on being customer obsessed with CPG advertisers. Under the Advertiser Success Team, the Campaign Management and Account Management teams create, manage, and grow ecommerce campaigns through sharing reporting and insights with advertisers. We are looking for an experienced Account Manager who can support and drive high valued performance results for Instacart’s ad products through optimizations and upsells while communicating the value of Instacart to partners.





ABOUT THE JOB

• Collaborate with the Sales Team to build trusted CPG Client and Agency relationships
• Fluent in creating full funnel media mix strategies with alignment to partner objectives
• Lead CPG cadence calls utilizing data visualization to present a story around campaign performance
• Builds persuasive narrative to influence advertisers to implement optimization and upsell strategies to enhance campaign effectiveness
• Eloquent in objection handling with the ability to influence advertisers and set direction against multiple stakeholders
• Acts as the voice of the customer, proactively advocate product enhancements to internal stakeholders
• Serve as a product expert, has deep understanding of ad products with the ability to communicate how products operate and serve to advertisers
• Participates in cross functional projects, provides thought leadership and feedback
• Influence standards, best practices and shares learnings at the category team level
• Internally champion and provide the vision for the Quarterly Business Review; present campaign insights to CPGs with an analytical mindset
• Contributes in gap to goal planning and manages quota over multiple business units
• Troubleshoot issues with limited guidance from Manager
• Actively engage in Advertiser Success team activities including opportunities to lead projects and participate in team wide programs

ABOUT YOU

• Undergraduate college degree required (BA/BS degree in business, advertising, commerce, digital marketing or related field is preferred)
• 4-6+ years of similar work experience
• Proven track record of building strong customer relationships
• Familiarity with Microsoft Excel, Google Drive (GMail, Docs, Sheets and Slides), Salesforce and Tableau. Mode is a plus
• Knowledge of paid search, display, account management, ad serving, CPG or e-commerce
• Ability to work independently, manage multiple priorities and take initiative in a high paced environment
• Succeeds in an external facing role, confidently communicates with advertisers and key stakeholders
• High attention to detail, exceptional organizational skills and creative problem solver
• Comfortable analyzing data with the ability to interpret and tell a story in a client-facing role

#LI-Remote

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.

Offers may vary based on many factors, such as candidate experience and skills required for the role. This role also includes a Sales Incentive Plan. The cash variable incentive target is based on individual sales performance. Payout terms will be based on the Sales incentive Plan for this role. OTE range for this role is listed below and is based on salary and fixed paymix for the role. Sales incentive pay is contingent on performance and paid in accordance with the terms of the applicable Sales Incentive Plan

Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here. For US based candidates, the base pay ranges for a successful candidate are listed below.

WA
$101,000-$106,500 USD
OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI
$96,000-$101,500 USD
All other states
$88,000-$93,000 USD
CA, NY, CT, NJ
$105,000-$111,000 USD
OTE Range
$117,500-$148,000 USD

Note for US Citizens: typically the IRS will not tax the first $126,500 USD you earn abroad under the Foreign Earned Income Exclusion