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Facebook Partner Engineer, AI/PyTorch in Helena, Montana


Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.


Facebook is seeking an AI Partner Engineer to join Facebook AI Partner Engineering team, a highly technical team that works with strategic partners, machine learning leaders across the industry and all major cloud service providers for building and launching new AI product services and experiences; and taking PyTorch models from research to production. You will engage with some of the world's most influential companies and work closely with our PyTorch engineering and AI research teams, as the specialist for AI/PyTorch design patterns and best practices with our developer community and partners. The ideal candidate will have industry experience working on any of the following: deep learning, machine learning, computer vision, natural language processing, recommendations systems, conversational AI, forecasting, reinforcement learning problems, e.g., for image classification, object detection, neural machine translation, medical image diagnostics, drug discovery, fraud detection, or adversarial ML.

Required Skills:

  1. Drive adoption of PyTorch and Facebook’s AI/ML offerings, and deliver new projects and/or systems that increase efficiency and scalability with minimal oversight

  2. Deeply understand Facebooks AI/PyTorch frameworks and underlying implementations to solve customer challenges. Provide insights into how key issues affect product development

  3. Lead technical strategy and roadmap for long-term strategic partners with high level of autonomy/own and navigate long term technical relationship with partners

  4. Build relationships with partners and cloud providers (like AWS) to guide strategy and support deep learning integrations

  5. Architect product solution and scale operational models through tools and process implementation

  6. Identify risk to Facebook and partners, seek to address partner problems independently or in collaboration with internal resources

  7. Be a technical subject matter expert, and manage internal stakeholder relationships and collaborate globally to effectively remove barriers

  8. Provide thought leadership, evangelize Facebook’s AI/PyTorch services, share best practices through forums, medium blogs, whitepapers, reference architectures and deliver presentations in public-facing environments (partner meetings, events, etc.)

  9. Develop reference architectures, samples and other materials to share with the broader PyTorch developer community

  10. Proactively communicate feedback, updates, status to direct team as well as relevant cross-functional teams

  11. Assist in onboarding, and mentoring team members

Minimum Qualifications:

  1. 7+ years software engineer building and shipping products or equivalent experience

  2. 2+ years of experience in one or more of the following areas: Deep Learning, Computer Vision, NLP, Speech, Conversational AI, Dialogue, Robotics, AI-Infrastructure, Machine Learning or artificial intelligence

  3. B.A./B.S. or M.S. in Computer Science or equivalent degree or experience

  4. Experience with open source languages such as Python, Java, Go, Rust, or C/C++

  5. Experience working with RESTful API and general service oriented architectures

  6. Experience with at least one Deep Learning framework such as PyTorch, TensorFlow, MXNet, Caffe

  7. Experience building cloud solutions on any cloud

  8. Experience with Open Source cloud stacks like Kubernetes, Kubeflow, Docker containers

  9. Experience communicating and presenting to technical and business audiences

Preferred Qualifications:

  1. Data science background and experience manipulating/transforming data, model selection, model training, model optimization and deployment at scale

  2. Experience deploying production-grade machine learning solutions on public cloud platforms (like AWS)

  3. Experience of launching a product/service or application into market

  4. Knowledge of Mobile/IoT for deploying ML models at the edge

  5. Experience contributing to an Open Source project, submitted PRs for features/fixed bugs and/or created sample applications in OSS or participated in Kaggle competitions

  6. Experience working with internal and external partners

Industry: Internet

Equal Opportunity: Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at