Sr. Engineering Manager, Machine Learning
Upload My Resume
Drop here or click to browse · PDF, DOCX, DOC, RTF, TXT
Requirements
• You will report to the VP of Engineering who oversees Machine Learning Engineering, Product Engineering, Core Platform Engineering, and Data Platform and Analytics. • The AKASA office is located in South San Francisco. While we support remote work on a variety of teams, we have a strong Bay Area presence across the company. The local R&D teams come into the office every Wednesday for co-working days, which this role will be expected to attend. • MS or PhD in Computer Science preferred, with an emphasis in Machine Learning • 7+ years of work experience in Machine Learning • 5+ years of people management experience, including building career development/growth plans, conducting performance reviews, and 1:1s with team members • Hands-on experience fine-tuning and training models in-house in your most recent role • Experience working with LLMs, RAG, and embeddings • Experience deploying trained LLMs to production • Proficiency in Python, PyTorch, and Kubernetes • Strong management and mentorship skills, fostering a collaborative and innovative team culture • Excellent written and oral communication skills with an ability to articulate technical concepts clearly and succinctly • Excellent quantitative critical thinking skills
Responsibilities
• Lead a talented team of engineers focused on improving AKASA’s machine learning capabilities and delivering cutting-edge products • Supervise and directly contribute across all parts of the LLM stack, including model fine-tuning, inference, evaluation, and deployment • Develop infrastructure and tooling to improve the model development lifecycle • Oversee a high-performing team via hands-on contributions and coaching • Translate business requirements into technical designs that work within constraints such as latency, cost, performance, and uptime • Set the vision and direction for the team and attract top talent to join AKASA
Benefits
• Flexible paid time off (PTO) • Expansive coverage for health, dental, and vision • Employer contribution to Health Savings Accounts (HSA) • Generous parental leave policy • Full employee coverage for life insurance • Cell phone/internet reimbursement • Company-paid holidays • Based on market data and other factors, the salary range for this position is $230,000 - $310,000 + Equity. 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. • The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors. • We’re committed to doing the best work of our lives, together. Come see if we're the right team for you.