Senior Software Engineer - ML Inference and Performance

Are you passionate about advancing the frontiers of artificial intelligence? We are looking for a Senior Software Engineer to join our dynamic team. This role is ideal for someone who thrives in a fast-paced startup environment and is eager to make significant contributions to the exciting field of machine learning. If you are a backend engineer with machine learning exposure, who now wants to make that their focus, we look forward to your application.

Key Responsibilities:

1. Scaling, refining, and fine-tuning the performance of our ML models and its infrastructure.
2. Deep dive into underlying codebases of Pytorch, Transformers, CUDA, and other libraries to debug ML performance issues.
3. Optimize and scale machine learning models, particularly large language models.
4. Collaborate with a diverse team to design and implement innovative solutions.

Must Haves:

1. 3 -10 years of experience with one or more general purpose programming languages, including but not limited to Python, Ruby, or Go.
2. Deep understanding of software engineering principles and a proven track record of developing and deploying AI/ML inference solutions.
3. Strong familiarity with ML libraries, especially PyTorch.
4. Demonstrated interest and experience in machine learning and large language models.
5. Deep understanding of GPU Architecture.
6. Familiarity with Docker and Kubernetes.

Bonus Points:

1. Proficiency in enhancing the performance of software systems, particularly in the context of LLMs.
2. Familiar with LLM optimization techniques (quantization, speculative decoding, continuous batching, etc.).
3. Experience with CUDA or similar technologies is highly advantageous.

What We Offer:

1. Competitive compensation package (Unlimited PTO, 401k, covered healthcare premiums, remote-first culture).
2. A unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era.
3. An inclusive and supportive work culture that fosters learning and growth.
4. Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply Now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.