Senior Engineering Manager, Machine Learning (ML)

Job Title:
Senior Engineering Manager, Machine Learning (ML)

Location:
San Francisco (Hybrid - Remote with weekly office days)

Type:
Permanent

Salary:
Competitive

This is an exciting opportunity to join a fast-growing AI start-up as a Senior Engineering Manager, Machine Learning (ML). You'll lead a high-performing team of 5-6 engineers in a business committed to engineering excellence and solving real-world problems with cutting-edge technology. With a strong presence in the Bay Area and a flexible hybrid set-up, the company combines the energy of a start-up with a focused and mission-driven culture.

Responsibilities:

• Lead and grow a high-calibre ML engineering team focused on enhancing core machine learning capabilities
• Work hands-on across the LLM stack, including fine-tuning, inference, evaluation, and deployment
• Collaborate closely with ML researchers and product stakeholders
• Build infrastructure and tools to streamline the model development lifecycle
• Define team vision, set goals, and attract top-tier talent
• Translate business needs into scalable technical solutions, balancing performance and cost considerations

Requirements:

• MS or PhD in Computer Science (with focus on Machine Learning preferred)
• Proven experience in managing ML teams, including career development and performance management
• Hands-on experience with in-house model training and fine-tuning
• Experience with LLMs, RAG, and embedding techniques
• Strong Python, PyTorch, and Kubernetes skills
• Track record of deploying trained LLMs to production environments
• Excellent communication and leadership skills, with the ability to mentor and motivate a collaborative team

This is a rare chance to shape the ML strategy of a highly ambitious company in a market with significant growth potential. The successful candidate will report to the VP of Engineering and play a central role in defining the future of the product.