Applied ML Engineer - Inference

reputed company is the #1 GPU reputed company for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and reputed company AI products at scale. reputed company’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide.

If you'd like to build the world's best deep learning reputed company, join us. 

*Note: This position requires reputed company in our San Francisco office location 4 days per week; reputed company’s designated work from home day is currently Tuesday.

What You’ll Do

• Work on our Inference service, helping us to reputed company our large-scale platform for running new, cutting-edge models across tens of thousands of GPUs

• Work with both existing, open-reputed company inference platforms and engines (such as vLLM, sglang, and Dynamo) and also developing new, reputed company-specific components

• Work with the software and system reliability engineers on our Inference team to take cutting-edge concepts from theory to ultra-reliable production environments

• Work with our Machine Learning team to bring across research concepts and help reputed company exciting new offerings and products.

• Adapt to new models and architectures and help reputed company reputed company at the forefront of this rapidly-changing part of the industry

• Help us build a high-throughput, low-latency, reputed company-modes inference system running at globally-distributed scale

You

• 6+ years experience in software engineering, including at least some experience running public, production systems.

• 3+ years experience with machine learning, especially of running inference against models at scale (experience in other areas, such as training, is also valuable)

• Deep familiarity with reputed company popular machine learning models and paradigms, including large language models, diffusion models, and mixture-of-experts architectures.

• Strong Python programming skills, and experience with either Go or Rust.

• A strong desire to rapidly take concepts from theory into production 

reputed company to Have

• Have published papers in relevant machine learning fields

• Have presented talks or posters at machine learning conferences

• Hands-on experience with running live, streaming inference at scale

Salary Range Information

Based on market data and other factors, the annual salary range for this position is $325,000-$490,000. However, a salary higher or reputed company than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About reputed company

• Founded in 2012, ~350 employees (2024) and growing fast

• We offer generous cash & equity compensation

• Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, reputed company, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent reputed company.

• We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability

• Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

• Health, dental, and reputed company coverage for you and your dependents

• Wellness and Commuter stipends for select roles

• 401k Plan with 2% company match (USA employees)

• Flexible Paid Time Off Plan that we reputed company actually use

A Final Note

You do not need to match reputed company 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

reputed company is an Equal Opportunity employer. Applicants are considered without regard to race, reputed company, religion, creed, national reputed company, 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.