Member of Technical Staff, Machine Learning

About the role

This is a hands-on applied AI role where you'll build and ship production systems—not just run experiments. The scope will grow as our product and team do.

Responsibilities

• Build voice agents, browser agents, OCR pipelines, and LLM-powered workflows that work reliably in production.
• Design rigorous evaluation frameworks and feedback loops to systematically improve model accuracy and reliability.
• Own the full ML lifecycle—model selection, fine-tuning, prompt design, deployment, and monitoring.
• Collaborate directly with product, ops, and legal experts to make sure the AI is solving the right problems.
• Track emerging research and tools, and make deliberate calls about when to bring them into our stack.

Requirements

Must-haves:

• 3+ years building and deploying production ML systems.
• Strong Python skills and experience working across the ML stack end-to-end.
• Hands-on experience with LLMs, prompt engineering, and evaluation design.
• A track record of shipping observable, maintainable AI systems—not just prototypes.

Nice-to-Haves

• Experience with NLP, OCR, speech, or agent frameworks (LangChain, OpenAI APIs, etc.).
• Prior work at an early-stage startup where you helped define ML infrastructure from scratch.
• Familiarity with legal tech, document-heavy workflows, or regulated industries.

Qualifications

We are looking for technical team members who care about outcomes over algorithms and are just as comfortable in production as they are in a notebook.

Skills

Must-have skills:

• Python programming skills.
• Experience with machine learning models and their deployment.
• Knowledge of large language models and their applications.
• Experience with natural language processing, optical character recognition, and speech recognition technologies.
• Ability to design and implement rigorous evaluation frameworks.
• Experience with prompt engineering and feedback loops.

Benefits

• 100% coverage for health, dental, and vision.
• 401(k) retirement plan.
• In-office snacks, drinks, and daily team lunches and dinners.
• Flexible PTO (we trust you to take the time you need).

Pay

The expected package for this role includes base salary + commission + equity. Base salary ranges from $180,000 to $280,000.

Schedule

This role is 4 days/week in our NYC office.

Finch Legal Commitment to Diversity, Equity, and Inclusion

At Finch Legal, we believe in practicing what we advocate. As a company dedicated to upholding justice and protecting people in the workplace, we are equally committed to fostering a safe, inclusive, and equitable environment within our own walls. We welcome and support individuals from all backgrounds and lived experiences—regardless of race, ethnicity, gender identity, sexual orientation, religion, disability, or veteran status. We recognize that diversity strengthens our team, enriches our perspectives, and empowers us to better serve our clients and communities. At Finch Legal, inclusion isn’t just a value—it’s a practice.