Sr. Engineering Manager, Machine Learning

AKASA

1d•$230,000 - $310,000•Hybrid

About The Position

This is an exciting opportunity to manage our Machine Learning Engineering (MLE) team. AKASA is a Machine Learning company from our inception. The combination of proprietary datasets, a talented research team, and customers that are eager to use LLMs sets up the MLE team for success. At its core, the MLE team has the exciting mandate of taking ML research improvements to production and ensuring that they create value for our customers. The ideal candidate for this role will be excited to collaborate across the stack, all the way from the research team to talking with users of our products. 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.

Requirements

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