Applied ML Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Applied ML Engineer role at the intersection of research and real-world product delivery. You’ll work with strategic customers to identify high-leverage ML opportunities, design production-grade solutions, and shape the product through field-driven insights, demos, and senior-stakeholder engagements.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Find and Unlock Alpha: Go deep on customer problems and data workflows to identify the highest-leverage opportunities others miss — then build the solutions that capture them.
•Ship What's Missing: When the product doesn't cover it, you do. Identify gaps through hands-on customer engagement and implement production-grade ML solutions that fill them.
•Drive Adaptable Data Strategy: Lead the design and implementation of efficient, adaptive ML systems across real production environments and varied customer tech stacks.
•Own the Outcome: You're not handing off a deck — you're a strategic and technical partner from discovery through deployment, accountable for results.
•Raise the Bar: Develop compelling demos, deliver technical presentations to senior stakeholders, and set the standard for what great looks like across our customer base.

Pay and Benefits

Perks:Flexible WorkMeal AllowanceWell-beingTravel Allowance

Key Requirements

•4+ years of experience in machine learning, applied research, or systems-level engineering for AI; 2+ years in a customer-facing technical role
•Strong software engineering skills and familiarity with ML frameworks (e.g., PyTorch, JAX, TensorFlow)
•Solid understanding of data modeling for training and how curation decisions shape model performance
•Excellent communication skills and the ability to translate complex technical work into business impact across varied stakeholder environments
•A mindset of ownership, curiosity, and a bias toward action

Experience:4+ yearsMachine learningAIApplied MLCustomer-facing

Skills:CommunicationOwnershipCollaborationProblem-solvingPresentation

Tech Stack:PythonPyTorchJAXTensorFlow

Company Brief

Adaption Labs

Adaption Labs delivers AI consulting, engineering, and MLOps services to help organizations design, build, and deploy machine learning and generative AI solutions. They focus on productizing models, integrating AI into production systems, and accelerating digital transformation for enterprise clients.

Industry: Consulting

Website

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Adaption Labs

1 month ago

Applied ML Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Find and Unlock Alpha: Go deep on customer problems and data workflows to identify the highest-leverage opportunities others miss — then build the solutions that capture them.
•Ship What's Missing: When the product doesn't cover it, you do. Identify gaps through hands-on customer engagement and implement production-grade ML solutions that fill them.
•Drive Adaptable Data Strategy: Lead the design and implementation of efficient, adaptive ML systems across real production environments and varied customer tech stacks.
•Own the Outcome: You're not handing off a deck — you're a strategic and technical partner from discovery through deployment, accountable for results.
•Raise the Bar: Develop compelling demos, deliver technical presentations to senior stakeholders, and set the standard for what great looks like across our customer base.

Pay and Benefits

Perks:Flexible WorkMeal AllowanceWell-beingTravel Allowance

Key Requirements

•4+ years of experience in machine learning, applied research, or systems-level engineering for AI; 2+ years in a customer-facing technical role
•Strong software engineering skills and familiarity with ML frameworks (e.g., PyTorch, JAX, TensorFlow)
•Solid understanding of data modeling for training and how curation decisions shape model performance
•Excellent communication skills and the ability to translate complex technical work into business impact across varied stakeholder environments
•A mindset of ownership, curiosity, and a bias toward action

Experience:4+ yearsMachine learningAIApplied MLCustomer-facing

Skills:CommunicationOwnershipCollaborationProblem-solvingPresentation

Tech Stack:PythonPyTorchJAXTensorFlow

Company Brief

Adaption Labs

Industry: Consulting

Website