In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn't changed. Today, we're on a mission to be the world's top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we've got the horsepower to make it happen.
*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda's designated work from home day is currently Tuesday.
What You'll DoGuide new customers through the technical onboarding process by:Assisting ML researchers in migrating their existing workloads to Lambda's AI Cloud Platform, ensuring that expected performance is achieved.Providing initial troubleshooting for technical issues that arise during the first few days of customers' time on Lambda infrastructure.Collaborate closely with customers to understand their needs and objectives, offer tailored guidance and best practices for deploying models and managing GPU infrastructure.Demonstrate how to optimize and scale training and inference workloads within Lambda by:Building proof-of-concept demos.Creating detailed architecture diagrams.Create and maintain detailed documentation including technical guides, best practices, and troubleshooting resources.Conduct training sessions and workshops for customers, enabling them to effectively utilize Lambda's products and services.Facilitate smooth workload transitions between Lambda's various products.Drive customer growth by identifying opportunities to increase product adoption.Act as a trusted advisor to new customers, ensuring successful integration and optimization of Lambda products.Provide continuous customer feedback to influence product roadmap and enhancements.Serve as a link between customers and internal teams.YouHave experience in machine learning or data science with a deep understanding of model development and deployment.Have experience using deep learning frameworks and libraries such as PyTorch, Tensorflow, Deepspeed, etc.Have experience with containerization technologies such as Docker and Kubernetes.Have experience building and optimizing LLM-based applications.Have experience building end-to-end ML pipelines on major cloud platforms.Have experience with Linux systems administration.Are an excellent communicator, capable of explaining complex, technical concepts to technical and non-technical audiences.Are customer obsessed and strive to deliver exceptional experiences to current and future Lambda customers.Experience as an ML educator and/or building and executing customer training sessions, product demos, or workshops.Nice to HaveExperience using MLOps tools such as RunAI, Weights and Biases, ClearML.Experience in training large models using distributed systems:Selecting parallelism strategies.Multi-GPU and Multi-Node training.Troubleshooting and configuring NCCL/RDMA.Quantization.Experience with HPC orchestration technologies such as SLURM.Experience with automation tools like Ansible, Puppet, Salt.Salary Range InformationBased on market data and other factors, the salary range for this position is $144,000 - $210,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About LambdaWe offer generous cash & equity compensation.Investors include US Innovative Technology, Gradient Ventures, Mercato Partners, SVB.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.We have a wildly talented team of 350+, and growing fast.Health, dental, and vision coverage for you and your dependents.Commuter/Work from home stipends for select roles.401k Plan with 2% company match.Flexible Paid Time Off Plan that we all actually use.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 EmployerLambda 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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