Machine Learning Engineer, Coach Platform at BetterUp

United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

EdTechIndustries

Requirements

3–5 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

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

Skills

Python

Jupyter

PyTorch

TensorFlow

JAX

LLM

fine-tuning

prompt engineering

RAG

A/B testing

containerization

BetterUp

Digital coaching for leadership and employee development

About BetterUp

BetterUp provides professional coaching and personal development services primarily for businesses. Its main product is a digital platform that connects employees, managers, and executives with expert coaches. These coaches help individuals enhance their leadership skills, manage stress, and develop resilience and self-compassion. The platform uses insights and analytics to customize coaching programs to meet the specific needs of each organization, ensuring measurable improvements in employee performance and well-being. Unlike many competitors, BetterUp focuses on a subscription model, allowing companies to provide ongoing access to coaching resources for their employees. The goal of BetterUp is to significantly improve individual and team performance, resilience, and overall employee experience across various industries.

San Francisco, CaliforniaHeadquarters

2013Year Founded

$563.2MTotal Funding

SERIES_ECompany Stage

Data & Analytics, ConsultingIndustries

1,001-5,000Employees

Benefits

Medical, dental, & vision benefits

Flexible Time Off

Paid parental leave

Unlimited coaching

Wellness programs

Education & learning stipend

Volunteer days

Risks

Shift to in-office work increases burnout, potentially affecting BetterUp's client satisfaction.

High valuation post-pandemic may challenge BetterUp in maintaining growth and investor expectations.

Departure of key personnel like Katie Coupe could disrupt internal operations and talent management.

Differentiation

BetterUp is the inventor of virtual coaching, leading the mental health startup sector.

It offers the largest network of over 3,000 coaches in 46 languages worldwide.

BetterUp integrates AI technology to tailor coaching programs to individual and organizational needs.

Upsides

Growing demand for virtual coaching as hybrid work models become more prevalent.

Increased interest in workplace mental health solutions boosts BetterUp's market potential.

AI-driven analytics enhance personalized coaching, improving employee performance and well-being.

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