Machine Learning Researcher at Lambda

Lambda's mission is to accelerate human progress with computation. Our deep learning systems push advancements in quantum computing, cancer detection, autonomous aircraft, drug discovery, self-driving cars, and much more. Our customers include Apple, Intel, Microsoft, Amazon Research, Tencent, Kaiser Permanente, MIT, Harvard, Stanford, Caltech and the Department of Defense.
Our Machine Learning team's mission is to bring world-class ML expertise to our products and services. The team plays a significant role in Lambda’s consultancy arm -- a group of engineers and researchers with deep experience in machine learning, software engineering, and computing infrastructure. We work innovatively on exciting new technologies to keep our services and our customers ahead of the competition.
About the Role
We are hiring a machine learning researcher to work on applied research. You will join a lean ML team and have a strong impact on both external consultancy projects and internal research and development. Your main responsibilities are: 


Help the team to identify, implement and test technical solutions for Lambda’s consultancy projects. 


Prospect ideas for internal projects and help the team to create IPs in the form of scalable services, licensable tools and custom models. 


What You’ll Do

Contribute to our machine learning consultancy projects with applied research. 
Conduct, document and reduce the turnaround cycle of our ML experiments. Present the findings to your peers and customers in a clear and concise manner. 
Contribute to internal development of scalable services, licensable tools and custom models. 
Bring machine learning insights to our sales engineers and customers in the forms of technical blogs, benchmarks, or research publications. 
Propose and lead your own research project. 

You

Have an MS or PhD degree in EECS or related field, or equivalent work experience.
Are a highly effective team collaborator and strong communication skills

Have a proven track record of optimizing state-of-the-art machine learning methods in terms of quality, speed, memory footprint or scalability.

Have a proven track record of managing large datasets and experiments. 
Have a proven track record of writing reproducible ML code and significant contribution to open source projects.
Have knowledge of machine learning theory.
Have proficiency with Python and major ML frameworks such as PyTorch or TensorFlow.

Nice to have

Participated in research work published by major conferences/journals in ML or related fields.
Experience in running ML jobs distributedly at scale, or highly efficiently on custom edge devices.
Experience in CUDA programming 
Experience in MLOps 
Experience in full stack software development

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 60, 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 Labs 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.