Staff Machine Learning Engineer
San Francisco Bay Area, Toronto
$215,000 - $323,000/yearly
Staff
Top Benefits
Flexible working hours
Medical, dental, vision insurance
Flexible paid time off + 10+ holidays
About the role
Who you are
- We are looking for an experienced Staff Machine Learning Engineer eager to join EvenUp's mission
- Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus, Elasticsearch/OpenSearch)
- Familiarity with retrieval frameworks (LangChain, LlamaIndex, custom retrieval pipelines)
- Strong software engineering skills (Python, distributed computing, APIs)
- Strong knowledge of transformer models (LLMs, embeddings, fine-tuning methods like LoRA, PEFT)
- Understanding of evaluation methodologies for generative AI (RAG benchmarks, hallucination reduction, factual grounding)
What the job involves
- You’ll develop and deploy models that power Piai™, our proprietary claims-intelligence platform, with a focus on machine learning, natural-language processing, and generative AI
- Working alongside senior ML engineers, data scientists, and legal subject-matter experts, you’ll turn raw legal and medical data into production-ready models that directly improve justice for personal-injury clients
- Lead the design and architecture of large-scale ML systems for retrieval-augmented generation (RAG), vector search, and fine-tuning frameworks across multiple product lines
- Define and drive technical strategy and best practices for ML system design, including embedding pipelines, evaluation frameworks, and integration with vector databases
- Mentor and guide other engineers by reviewing designs, code, and system proposals to elevate the technical bar across the ML engineering org
- Partner with product, research, and infra teams to translate ambiguous business and research goals into robust ML system architectures
- Drive innovation and prototyping in areas such as semantic search, generative AI evaluation, and fine-tuning techniques, with a focus on production-readiness
- Own the frameworks and abstractions that make ML workflows reproducible, scalable, and reusable across the company
- Establish standards for system evaluation, including relevance, latency, cost efficiency, and reliability metrics, and ensure they are consistently applied
- Act as a bridge between applied ML research and engineering, ensuring that new techniques (LoRA, retrieval optimizations, etc.) are integrated into production frameworks effectively
- Influence long-term roadmap and platform direction by identifying gaps in ML tooling, infrastructure, and developer experience
- Represent the ML engineering team in cross-org architectural reviews, ensuring alignment with platform, data, and infra strategies
Benefits
- Flexible working hours to match your style
- Offsites - get to meet your coworkers on a fully-expenses trip ever 6-12 months
- A variety of virtual team events such as game nights & happy hours
- Choice of medical, dental, and vision insurance plans for you and your family
- Flexible paid time off and 10+ holidays per year
- A stipend to upgrade your home office for fully-remote roles
- 401k for US-based employees
Staff Machine Learning Engineer
San Francisco Bay Area, Toronto
$215,000 - $323,000/yearly
Staff
Top Benefits
Flexible working hours
Medical, dental, vision insurance
Flexible paid time off + 10+ holidays
About the role
Who you are
- We are looking for an experienced Staff Machine Learning Engineer eager to join EvenUp's mission
- Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus, Elasticsearch/OpenSearch)
- Familiarity with retrieval frameworks (LangChain, LlamaIndex, custom retrieval pipelines)
- Strong software engineering skills (Python, distributed computing, APIs)
- Strong knowledge of transformer models (LLMs, embeddings, fine-tuning methods like LoRA, PEFT)
- Understanding of evaluation methodologies for generative AI (RAG benchmarks, hallucination reduction, factual grounding)
What the job involves
- You’ll develop and deploy models that power Piai™, our proprietary claims-intelligence platform, with a focus on machine learning, natural-language processing, and generative AI
- Working alongside senior ML engineers, data scientists, and legal subject-matter experts, you’ll turn raw legal and medical data into production-ready models that directly improve justice for personal-injury clients
- Lead the design and architecture of large-scale ML systems for retrieval-augmented generation (RAG), vector search, and fine-tuning frameworks across multiple product lines
- Define and drive technical strategy and best practices for ML system design, including embedding pipelines, evaluation frameworks, and integration with vector databases
- Mentor and guide other engineers by reviewing designs, code, and system proposals to elevate the technical bar across the ML engineering org
- Partner with product, research, and infra teams to translate ambiguous business and research goals into robust ML system architectures
- Drive innovation and prototyping in areas such as semantic search, generative AI evaluation, and fine-tuning techniques, with a focus on production-readiness
- Own the frameworks and abstractions that make ML workflows reproducible, scalable, and reusable across the company
- Establish standards for system evaluation, including relevance, latency, cost efficiency, and reliability metrics, and ensure they are consistently applied
- Act as a bridge between applied ML research and engineering, ensuring that new techniques (LoRA, retrieval optimizations, etc.) are integrated into production frameworks effectively
- Influence long-term roadmap and platform direction by identifying gaps in ML tooling, infrastructure, and developer experience
- Represent the ML engineering team in cross-org architectural reviews, ensuring alignment with platform, data, and infra strategies
Benefits
- Flexible working hours to match your style
- Offsites - get to meet your coworkers on a fully-expenses trip ever 6-12 months
- A variety of virtual team events such as game nights & happy hours
- Choice of medical, dental, and vision insurance plans for you and your family
- Flexible paid time off and 10+ holidays per year
- A stipend to upgrade your home office for fully-remote roles
- 401k for US-based employees