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Motive Software · 5 months ago

Senior Machine Learning Engineer, AI Product and Platform

San Francisco, CA

Full-time

Onsite

Mid, Senior Level

$200K/yr - $275K/yr

4+ years exp

Motive Software is focused on building the future of human transformation through innovative AI solutions. They are seeking a Senior Machine Learning Engineer to prototype and evaluate AI-powered features, collaborate with various teams, and contribute to technical designs while ensuring the delivery of impactful user experiences.

AnalyticsArtificial Intelligence (AI)Machine LearningNatural Language ProcessingPredictive AnalyticsSoftwareText Analytics

Responsibilities

Prototype, fine-tune, and evaluate LLM-powered features—from conversational insights to practice-moment nudges—using Python and Jupyter notebooks

Own the production lifecycle: data prep, experiment design, offline/online evaluation, and weekly pushes to prod alongside a tight squad of ML/Backend/Full Stack Engineers

Collaborate daily with Product, Coaching Science, and Learning Design to turn behavior-change research into delightful user moments

Contribute to technical design by shaping model architectures, retrieval strategies, and safety guards—while staying hands-on in code

Measure what matters: define success metrics, implement A/B tests, and iterate quickly on real coach feedback

Ship end-to-end improvements to products like FocusFrame, our AI copilot that helps coaches deliver higher-impact sessions in real time

Qualification

Machine Learning systemsLLM fine-tuningPythonModern ML toolingJupyter/IPythonCloud deploymentCuriosityBias toward actionNavigating ambiguityCoaching experienceLearning-science experienceBehavior-change experienceRLHF exposurePreference tuningMultimodal modelsClear communication

Required

4+ years building and shipping ML systems in production, with at least 6–12 months hands-on with LLM fine-tuning, prompt engineering, or RAG pipelines

Fluency in Python for AI development and comfort working in Jupyter/IPython

Solid understanding of modern ML tooling (e.g., PyTorch, TensorFlow, or JAX) and containerized/cloud deployment basics

Clear, approachable communication with both technical peers and non-technical partners

Bias toward action, curiosity, and comfort navigating ambiguity in a fast-moving startup environment

Preferred

Prior experience in coaching, learning-science, ed-tech, or behavior-change domains

Exposure to RLHF, preference tuning, or multimodal models

Benefits

Access to BetterUp coaching; one for you and one for a friend or family member

A competitive compensation plan with opportunity for advancement

Medical, dental, and vision insurance

Flexible paid time off

Per year: + All federal/statutory holidays observed + 4 BetterUp Inner Workdays (https://www.betterup.co/inner-work) + 5 Volunteer Days to give back + Learning and Development stipend + Company wide Summer & Winter breaks

Year-round charitable contribution of your choice on behalf of BetterUp

401(k) self contribution