Member of Technical Staff, Applied Machine Learning Engineer

What you'll do

• Collaborate with go-to-market teams and partners to support customer integrations and deployments; build and present proofs of concept.
• Design, develop, and deploy end-to-end AI applications tailored to customer needs; integrate new models into platforms or client environments.
• Add platform features, fix bugs, and optimize the performance, efficiency, and scalability of models and applications.

What they ask for

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• 5+ years of experience in a software engineering role; customer-facing experience is strongly preferred.
• Robust coding skills; Python proficiency is preferred.
• Ability to lead and execute complex technical projects focused on customer success; strong interpersonal and communication skills.

Nice to have

• Master’s degree in Computer Science, Engineering, or a related technical field; startup or fast-paced environment experience.
• Hands-on model fine-tuning experience, including supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF or RFT); understanding of generative AI, machine learning principles, and enterprise infrastructure.

Pay

$170K – $240K (base salary)

Tools

Python, SFT, RLHF, RFT

AI focus

Develop, fine-tune, integrate, and operationalize machine learning models and customer-specific AI applications; build AI proofs of concept and support scalable model serving.