Senior Machine Learning Engineer

EvenUp
San Francisco, Toronto
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Mentoring","Technical judgment","Problem-solving","Collaboration","Scalability focus"]

Build and own production machine learning systems for a claims-intelligence platform, covering the full ML lifecycle from problem framing and data strategy through training, evaluation, deployment, and monitoring. Architect scalable pipelines for structured, unstructured, and embeddings-based data, develop reusable benchmarking frameworks, and collaborate with product managers and data scientists to translate ambiguous needs into reliable, scalable ML solutions. Mentor engineers and help shape technical direction.

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FursaFursa
EvenUp
EvenUp
2 months ago

Senior Machine Learning Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 29 minutes agoStatus: Live

Job Summary

Build and own production machine learning systems for a claims-intelligence platform, covering the full ML lifecycle from problem framing and data strategy through training, evaluation, deployment, and monitoring. Architect scalable pipelines for structured, unstructured, and embeddings-based data, develop reusable benchmarking frameworks, and collaborate with product managers and data scientists to translate ambiguous needs into reliable, scalable ML solutions. Mentor engineers and help shape technical direction.
Location: San Francisco, Toronto
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, build, and own production ML systems across the full lifecycle, including monitoring.
  • •Architect scalable data pipelines for structured, unstructured, and embeddings-based data for training and inference.
  • •Build reusable frameworks and infrastructure for model development, evaluation, and benchmarking.
  • •Apply and productionize state-of-the-art techniques across NLP, information retrieval, and generative AI when needed.
  • •Mentor other engineers and help establish architectures, best practices, and technical direction as the team grows.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsurancePaid Leave401kRrspHome OfficePaid ParentalLong-term Disability

Key Requirements

  • •5+ years building and deploying machine learning systems in production.
  • •Strong software engineering fundamentals including Python, distributed systems, and API design.
  • •Own the full ML lifecycle (not just model training).
  • •Turn ambiguous problems into scoped, shippable ML solutions.
  • •Experience mentoring other engineers and influencing technical direction.
Experience:5+ yearsMachine learningSaaSLegal tech
Skills:MentoringTechnical judgmentProblem-solvingCollaborationScalability focus
Tech Stack:PythonDistributed systemsAPI designNLPInformation retrievalGenerative AIEmbeddingsFine-tuningLoRAPEFTPrompt engineeringVector databasesPineconeWeaviateFAISSMilvusElasticsearchOpenSearchLangChainLlamaIndex

Company Brief

EvenUp
Develops an AI-powered Claims Intelligence Platform for personal injury law firms that automates document generation, reviews medical records, and streamlines workflows to help firms settle cases faster and secure fairer client outcomes.
Industry: LegalTech
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2019
Glassdoor
Glassdoor: 3.1
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