Fieldguide is hiring a Manager, Machine Learning Engineering to lead our AI initiatives. You will combine your machine learning and generative AI expertise with strong people leadership to drive critical projects, mentoring a team that delivers innovative ML features for the audit and advisory industry.

What You'll Do

Lead and mentor a team of ~5 Machine Learning Engineers, providing coaching, mentorship, and support.
Foster an inclusive, psychologically safe team culture that enables growth and high performance.
Oversee the end-to-end delivery of ML-driven product features, especially NLP and generative AI solutions, across multiple teams.
Ensure projects are executed with high quality, reliability, and on schedule.
Work closely with Product Managers, Designers, and the Head of Engineering to plan roadmaps, define AI strategy, and integrate ML capabilities.
Provide technical direction in ML architecture and design decisions.
Guide the team on best practices for building generative AI systems, including prompt engineering techniques and robust solution design.
Establish and champion frameworks for evaluating model performance and accuracy.
Ensure generative AI models and features are rigorously tested, monitored, and continually improved based on metrics and user feedback.
Participate in hiring to attract and onboard top ML engineering talent.
Set clear expectations and help scale the team by refining hiring, interview, and onboarding processes.
Own the career development and performance management process for your team, conducting regular 1:1s and performance reviews.
Refine team processes and workflows for efficiency and quality, such as code reviews, research spikes, and deployment practices.
Advocate for resources or process changes needed for the ML team to excel.

What We're Looking For

8+ years of experience in applied machine learning or a related field.
At least 2+ years in a tech lead or people manager role.
Proven ability to lead and develop engineering talent in a fast-paced environment.
Deep understanding of modern NLP, large language models (LLMs), and generative AI systems.
Hands-on experience with prompt engineering for LLMs and developing evaluation frameworks to measure and improve model performance.
Proficiency in Python and ML libraries/frameworks.
Track record of building, deploying, and scaling ML solutions in production.
Solid grasp of data engineering (ETL pipelines, data quality) and MLOps best practices for model deployment and monitoring.
Demonstrated ability to mentor, coach, and manage engineers effectively.
Experience conducting performance reviews, providing constructive feedback, and guiding career growth for a technical team.
Excellent collaboration and communication skills.
Comfortable working cross-functionally with product managers, designers, and other stakeholders.
Adept at thinking big-picture about AI strategy while also able to dive into details.
Strong problem-solving skills and decision-making judgment.
Passion for building an inclusive, high-performing team culture.
Embody Fieldguide’s values (Fearless, Fast, Lovable, Owners, Win-Win, Inclusive) in your leadership style.

Technical Stack

Python
ML libraries/frameworks

Team & Environment

You will directly manage a team of ~5 Machine Learning Engineers who work across multiple product teams. You will report to the Head of Engineering. The company culture values diversity in backgrounds and experiences, and the team is inclusive, driven, humble, and supportive.