EvenUp

3 weeks ago

Senior Machine Learning Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours 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: 3.1

Website LinkedIn Glassdoor

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EvenUp

3 weeks ago

Senior Machine Learning Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

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

Company Brief

EvenUp

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: 3.1

Website LinkedIn Glassdoor