Lambda

Senior Machine Learning Engineer


Remote (US, CAN, UK, …



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Job's description


Lambda's mission is to accelerate human progress with computation. Our cloud, software, and on-premise supercomputers power AI research at the forefront of quantum computing, cancer detection, autonomous aircraft, drug discovery, self-driving cars, and much more. 

Lambda’s products accelerate AI research at thousands of organizations, including Intel, Microsoft, Amazon Research, Tencent, Kaiser Permanente, MIT, Harvard, Stanford, Caltech, and the Department of Defense.

About the Role

We are hiring a customer-facing engineer to join a machine learning consulting team. You will play a significant role in Lambda’s consultancy arm with the following key responsibilities:

  • Lead the technical execution of machine learning consulting projects end to end.
  • Work with the team to identify and develop scalable machine learning processes and tools. 

What You’ll Do

  • Work with our business team and project managers to scope and qualify potential opportunities.
  • Work with clients to gather requirements, understand their problems and outline a statement of work.
  • Manage the technical execution of the project, coordinate with the client and lambda team members.
  • Present results, recommendations, code deliverables and documentation.
  • Prospect ideas for R&D by identifying replicable machine learning practices and techniques.
  • Be the “first customer” of our R&D, and a value multiplier for Lambda’s development of product and professional services. 

You

  • Are a highly effective team collaborator and have strong communication skills.
  • Have a deep understanding of and proven experience in deep learning
  • Are great at identifying the problem and establishing best practices and tools to facilitate efficient technical executions.
  • Enjoy stepping out of your comfort zone and working on previously unmet problems.
  • Have a proven track record of applying state-of-the-art machine learning methods to real-world problems (ideally in a consulting type of role).
  • Have strong coding skills with Python and major ML frameworks such as PyTorch or TensorFlow.
  • Have experience running distributed ML jobs at scale or efficiently on custom edge devices.
  • Are passionate about consultancy and bringing value to customers.
  • Are able to work on multiple projects concurrently.
  • Ideally have strong knowledge of image processing (not required but preferred)
  • Good experience/understanding of NLP
  • Strong with Math/algorithms

Nice to have

  • Participated in research work published by major conferences/journals in ML or related fields.
  • Track record of contributing to open source projects.
  • Passionate about technical writing and sharing your discoveries with the community and peers.
  • Previous experience in consultancy.
  • Previous experience in MLOps.

About Lambda

  • We offer generous cash & equity compensation.
  • Investors include Gradient Ventures, Google’s AI-focused venture fund.
  • We are experiencing a high rate of growth and have 10x’d over the last 3 years.
  • Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG.
  • We have a wildly talented team of 75, and are growing fast.
  • Our remote workforce, based on role, is across the U.S., with headquarters in San Francisco.
  • Health, dental, and vision coverage for you and your dependents.
  • Commuter/Work from home stipends.
  • 401k Plan.
  • 3 weeks Annual Paid Time Off.

A Final Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

 





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