Everlaw is hiring a Staff ML/AI Engineer to build the intelligent systems that help legal professionals navigate complex litigation cases at the scale of millions of documents. This role bridges the gap between cutting-edge research and production-grade software, bringing new capabilities to market. You will have a key role in designing architecture, mentoring senior engineers, and defining how ML/AI are applied in our product.
What You'll Do
- Apply a deep understanding of probability, statistics, and optimization to ensure models are robust and explainable.
- Lead the design and implementation of ML infrastructure and tooling, championing MLOps best practices.
- Help elevate the technical bar of the engineering team by staying abreast of industry research and sharing learnings.
- Collaborate with software engineers, security engineers, data scientists, product leads, and other cross-functional teams.
- Be on the lookout for new opportunities that ML and AI enable, influencing engineering and product direction.
What We're Looking For
- 8+ years of experience in software engineering.
- At least 4 years dedicated to building and deploying ML models in a production SaaS environment.
- Solid grounding in ML Fundamentals including command of the math behind the models (linear algebra, calculus, loss function optimization).
- Emphasis on practicality and product outcomes over hype.
- Track record of solving 'noisy data' problems and understanding precision/recall tradeoffs.
- MLOps experience with cloud-based infrastructure and technologies like Kubernetes, Docker, Weights & Biases, MLFlow, etc.
- Proficient in at least one language (like Python, Go, or Java) and experienced with frameworks such as PyTorch, TensorFlow, or JAX.
- Constant learner, staying abreast of the latest ML/AI developments.
- Able to collaborate effectively with coworkers on different teams and explain technical concepts without jargon.
Nice to Have
- Applied LLMs to production-grade software, including knowledge of fine-tuning, prompt engineering.
- Devised embedding strategies and approaches for knowledge representation, including vector and graph databases and applied RAG.
- Built agents, MCP servers or clients, or have designed evaluation strategies for monitoring and supervising AI agents.
Technical Stack
- Languages: Python, Go, Java
- Frameworks: PyTorch, TensorFlow, JAX
- Infrastructure: Kubernetes, Docker, Weights & Biases, MLFlow
- Cloud Platforms: AWS, GCP, Azure
Team & Environment
You will collaborate with a community of other senior staff and principal engineers. The role has regular visibility to, and interactions with, the Chief Technology Officer and other senior leaders.
Benefits & Compensation
- Compensation: $228,000 - $288,000 + equity program
- Equity program
- 401(k) retirement plan with company matching
- Health, dental, and vision insurance
- Flexible Spending Accounts for health and dependent care expenses
- Paid parental leave
- Approximately 10 days (80 hours) per year of sick leave
- Seventeen paid vacation days plus 11 federal holidays
- Membership to Modern Health for mental health and wellness
- Annual allocation for Learning & Development opportunities and professional membership dues
- Company-sponsored life and disability insurance
Work Mode
This is a hybrid role based in Oakland, California.
Everlaw is an equal opportunity employer. We pride ourselves on having a diverse workforce and we do not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
