A rapidly growing company at the forefront of generative AI solutions for healthcare is seeking a talented Machine Learning Engineering Manager.
This is an exciting leadership opportunity to oversee a high-performing team dedicated to improving and scaling AI capabilities within healthcare. The ideal candidate will have a passion for collaborating with research teams, guiding engineering teams, and driving innovative machine learning products that directly impact the industry.
You will lead a skilled team of machine learning engineers focused on enhancing AI-driven products and solutions and will oversee the entire machine learning lifecycle, including model fine-tuning, inference, evaluation, and deployment. You will also develop and maintain infrastructure and tooling that supports the model development lifecycle and ensures high-quality, efficient workflows, and will mentor and guide the team by contributing hands-on, setting technical direction, and fostering a culture of innovation and collaboration. You will collaborate with cross-functional teams (including research, product, and user-facing teams) to translate business requirements into technical solutions within constraints such as performance, latency, cost, and uptime and finally, will set the vision for the MLE team, while actively participating in attracting top talent to build and grow the team.
Required Qualifications:
Master's or PhD in Computer Science (or related field) with a focus on Machine Learning (preferred).
8+ years of experience in machine learning engineering or research.
5+ years of experience managing engineering teams, including conducting performance reviews, developing career growth plans, and fostering individual development.
Hands-on experience with fine-tuning and training machine learning models, specifically with LLMs (Large Language Models), embeddings, and retrieval-augmented generation (RAG).
Proven track record of deploying machine learning models to production environments.
Strong technical proficiency in Python, PyTorch, and Kubernetes.
Desired Attributes:
Demonstrated leadership in building and managing high-performing teams.
Ability to work collaboratively in a dynamic and fast-paced environment.
Passion for driving innovation and applying machine learning to real-world challenges.
We are looking for world-class talent on this search - people who have held impactful leadership roles in businesses at the forefront of AI & ML.