Machine Learning Engineer
Description For Machine Learning Engineer
EvenUp, a rapidly growing generative AI startup, is revolutionizing the personal injury legal sector by developing cutting-edge Document AI solutions. As a Machine Learning Engineer, you'll join a mission-driven company backed by top-tier investors like Bessemer Venture Partners and Bain Capital Ventures.
The role focuses on building next-generation models for legal and medical document processing, combining traditional ML with state-of-the-art LLM approaches. You'll work on challenging problems at the intersection of information extraction, retrieval, and generative AI, directly impacting the outcomes of personal injury cases.
The position offers a unique opportunity to work with proprietary datasets and solve high-impact problems in the legal tech space. You'll be implementing advanced technologies including RAG systems, LLM fine-tuning, and knowledge graphs, while collaborating with domain experts from legal and healthcare sectors.
The hybrid work environment (3 days in office) promotes strong team collaboration while maintaining flexibility. The company offers comprehensive benefits including medical insurance, 401(k), paid parental leave, and a sabbatical program. This is an ideal role for experienced ML engineers passionate about applying their skills to create meaningful social impact while working with cutting-edge AI technologies.
EvenUp's mission to level the playing field in personal injury cases, combined with their strong backing and innovative technology stack, makes this an exciting opportunity for those looking to advance their career in applied AI while making a real difference in people's lives.
Responsibilities For Machine Learning Engineer
- Pioneer cutting-edge Document AI systems using generative AI
- Implement information extraction using ML, LLMs, and multi-modal LLMs
- Develop information retrieval systems and RAG architectures
- Create data management solutions for petabyte-scale processing
- Collaborate with domain experts and product managers
- Create tools for data-driven decision making
- Mentor junior team members
Requirements For Machine Learning Engineer
- 3+ years of experience in machine learning, data science, or similar technical role
- Strong software engineering fundamentals and Python proficiency
- Expertise in classical ML techniques
- Experience with deep learning frameworks (PyTorch, TensorFlow)
- Knowledge of NLP and information extraction
- Experience with LLM fine-tuning and RAG systems
- Familiarity with vector databases and embedding techniques
- Experience with distributed computing and data processing
- Excellent communication skills
Benefits For Machine Learning Engineer
- Medical, dental, and vision insurance
- Flexible paid time off
- 10 US observed holidays and Canadian statutory holidays
- Home office stipend
- 401(k) for US-based employees
- Paid parental leave
- Sabbatical program
- Meet-up program
- Offices in San Francisco, Los Angeles, and Toronto
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