Why Harvey
Harvey is a secure AI platform for professionals in law, tax, and finance that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized by our expert team of lawyers, engineers and research scientists. We ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:
Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world likeA&O,PwC, and many others.
Strategic investors: Raised over$100 millionfrom strategic investors including Sequoia, Kleiner Perkins, and the OpenAI Startup Fund.
World-class team: Harvey is hiring the best technical and non-technicaltalentfrom DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Superhuman, Glean, etc.
Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.
Performance: $0-15M ARR in the last 12 months.
Value: Top of market cash and equity compensation.
Responsibilities
Research Engineers at Harvey wear many hats. In this role, you may work on any/all of the following:
Zero-to-one product development: rapidly prototype, evaluate, and integrate new product features and custom projects for our customers.
Agent primitives: develop (and continuously improve) best-in-class LLM methods for zero-shot dense retrieval, large-scale hybrid semantic search, recursive abstractive document analysis, etc.
Agentic workflows: design and implement LLM agents that use these basic primitives and external tools to deliver high-quality, long-form work outputs.
Evaluation: Create rigorous evaluation protocols combining human preference judgements from domain experts and synthetic data generation.
Custom models: Fine-tune LLMs and domain-specific embeddings models for knowledge work tasks.
Qualifications
Candidates should have 2+ YoE (post-BS/MS) in an ML research/engineering role. Additionally, you may be a strong fit for this role if you:
Are excited about redefining knowledge work through an AI-native lens.
Can translate open-ended problems into actionable, short-term goals and execute on them aggressively.
Communicate both low-level technical details and high-level strategic plans effectively.
Maintain a high personal velocity.
Knowledge of legal or other professional service domains is not required.
Compensation
The expected range of compensation for this role is between $200,000 and $385,000. Additionally, this role is eligible to participate in our equity plan. The successful candidate s starting salary will be determined based on non-discriminatory factors such as skills, experience, and geographic location.