Full-Time

Machine Learning Engineer

Onyx

Onyx

11-50 employees

AI-powered mobile trainer with form feedback

Compensation Overview

$150k - $250k/yr

San Francisco, CA, USA

In Person

On-site in San Francisco, CA; 3-day in-person work trial included.

Category
AI & Machine Learning (2)
,
Requirements
  • Have 3+ years of AI/ML engineering experience building real-world applications
  • have in-depth experience with PyTorch/TensorFlow, NLP models, and standard ML algorithms
  • Are up to date with new advances such as open source/proprietary LLMs, RAG and agent-frameworks
  • Strong software engineering background and capable of building backend features with web frameworks, ORMs and relational databases
  • Excellent communication skills and ability to collaborate with full stack roles
Responsibilities
  • Evaluating and implementing LLM based knowledge graphs, advanced RAG approaches (StructRAG, etc.), LLM agents, advances in NLP, multi-modal transformers, advanced information retrieval algorithms
  • Working on users’ experience with the platform through features like learn from feedback, search personalization, SME suggestion, etc.
  • Build a semantic and programmatically useful understanding of the organization's priorities, projects, and people as additional signals to the answering capabilities of Onyx
  • Own the approach from inception to validation to production code
  • Collaborate with Founders and the Head of AI to shape and influence the direction of the product and contribute to the AI/ML engineering strategy
Desired Qualifications
  • Familiar with the full stack Typescript/React/NextJS, Python, Postgres
  • Interested in writing technical blogs to establish Onyx is leader in the space

Onyx is a mobile AI-powered personal trainer for at-home workouts. It uses the smartphone camera to track movements, automatically counts reps, and provides real-time feedback on form to prevent injuries and improve effectiveness. It offers personalized workout plans aligned with goals like strength, muscle building, or weight loss, and it tracks progress over time. Its differentiator is real-time form correction and rep counting through computer vision, combined with integrated coaching and progress tracking in one app to support safer, more effective workouts.

Company Size

11-50

Company Stage

Seed

Total Funding

$10.1M

Headquarters

San Francisco, California

Founded

2023

Simplify Jobs

Simplify's Take

What believers are saying

  • Private leaderboard groups with friends boost user engagement significantly.
  • Lifetime subscriptions grant unlimited access to all workouts and tracking.
  • Real-time competition via game-like matchmaking drives retention higher.

What critics are saying

  • Apple Fitness+ AI form correction locks users into ecosystem within 6-12 months.
  • Google Fit pre-installs Gemini rep counting on 2B+ Android devices in 9-15 months.
  • OpenAI GPT-5 API commoditizes camera form correction for competitors in 6-12 months.

What makes Onyx unique

  • Onyx uses smartphone camera for 3D motion capture to count reps accurately.
  • Provides real-time form correction to prevent injuries during home workouts.
  • Offers personalized programs for strength, muscle building, and weight loss.

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Your Connections

People at Onyx who can refer or advise you

Benefits

Remote Work Options

Flexible Work Hours

Unlimited Paid Time Off

Paid Vacation

Health Insurance

401(k) Retirement Plan

401(k) Company Match

Wellness Program

Mental Health Support

Conference Attendance Budget

Professional Development Budget

Stock Options

Company Equity

Parental Leave

Family Planning Benefits

Fertility Treatment Support

Adoption Assistance

Phone/Internet Stipend

Home Office Stipend

Relocation Assistance

Tuition Reimbursement

Professional Certification Support

Growth & Insights and Company News

Headcount

6 month growth

↑ 0%

1 year growth

↓ -6%

2 year growth

↑ 29%
AiThority
Mar 13th, 2025
Onyx Raises $10 Million To Help Teams Find Knowledge Faster with Open Source AI Agents

Onyx, the first AI deep research agent designed for the workplace, announced today a $10M seed round of funding.

The Business Journals
Apr 3rd, 2024
Here's what you need to know about Y Combinator's 2024 winter batch demo day

Y Combinator seeded more than 250 companies in its current winter batch, which leans heavily into AI. One particular AI subcategory has nearly tripled over the past year.