[Remote] Staff AI Engineer at Tonal

San Francisco, California, United States

Apply Now

$200,000 – $235,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Fitness Technology, AI, Machine LearningIndustries

Requirements

Self-driven AI or ML Engineer passionate about bringing applied machine learning into real-world, user-facing products
7+ years of experience in software engineering or applied ML, or 5+ years with a Master’s degree, or PhD with 3+ years of experience
Strong coding skills in Python and experience with frameworks such as PyTorch, TensorFlow, or JAX
Experienced in ML training, evaluation, and deployment workflows such as Sagemaker, MLFlow, Databricks, or similar
Deep understanding of time series modeling, human motion, or sensor-based learning from devices such as force transducers, position encoders, IMUs, or cameras
Familiar with MLOps best practices and scalable model training pipelines
Strong communicator who can collaborate with scientists, product managers, and engineers
Track record of delivering performant ML systems from prototype to production

Responsibilities

Design, implement, and optimize machine learning training pipelines and model serving infrastructure for real-time applications
Develop algorithms and ML models that enable personalized training, adaptive coaching, and performance prediction
Fine-tune and evaluate transformer-based or self-supervised learning models using Tonal’s multimodal dataset
Build data-driven systems that measure training effectiveness, effort, and progression beyond traditional weight-based metrics
Prototype, train, and deploy ML models that run efficiently at scale or on device
Collaborate cross-functionally with Exercise Science, Product, and Software teams to deliver intelligent features that improve the member experience
Contribute to the development of automated tools for experimentation, model validation, and continuous retraining
Write high-quality, maintainable Python code and work closely with backend engineers to integrate models into Tonal’s production systems
Mentor teammates and help shape Tonal’s growing AI and ML best practices

Skills

Key technologies and capabilities for this role

Machine LearningAITransformer ModelsSelf-Supervised LearningML PipelinesModel ServingBiomechanicsReal-Time SystemsData PipelinesMultimodal DataPythonPyTorch

Questions & Answers

Common questions about this position

What is the salary range for the Staff AI Engineer position?

The salary range is $200K - $235K.

Is this position remote?

Yes, the position is remote.

What skills and experience are required for this role?

Candidates need 7+ years of experience in software engineering or applied ML (or 5+ with a Master’s, or PhD with 3+), strong Python coding skills, experience with frameworks like PyTorch, TensorFlow, or JAX, and expertise in ML training, evaluation, and deployment workflows such as Sagemaker or MLFlow.

What is the team like at Tonal?

You'll join a high impact team at the intersection of machine learning, biomechanics, and product engineering, collaborating cross-functionally with Exercise Science, Product, and Software teams.

What makes a strong candidate for this Staff AI Engineer role?

A self-driven AI or ML Engineer passionate about applied machine learning in user-facing products, with significant experience in software engineering or ML, strong Python skills, and expertise in ML frameworks and deployment.

Tonal

Home gym system with personalized workouts

About Tonal

Tonal offers a home gym solution that combines technology and fitness. Its main product is a wall-mounted fitness system that uses artificial intelligence to create personalized workout plans. This system tracks user performance and provides real-time feedback, helping users achieve their fitness goals. Tonal's equipment can adapt to different fitness levels, offering up to 200 pounds of adjustable weight and the capability to perform over 245 exercises. Unlike many competitors, Tonal focuses on providing a complete fitness experience in one device, eliminating the need for multiple gym equipment or memberships. The company's goal is to make fitness more accessible and convenient for everyone, with a business model that includes selling the equipment and offering a subscription service for ongoing personalized workout programs.

San Francisco, CaliforniaHeadquarters

2015Year Founded

$564.2MTotal Funding

LATE_VCCompany Stage

Consumer Software, AI & Machine Learning, Consumer GoodsIndustries

201-500Employees

Benefits

Competitive compensation

Top quality health care package

Commuter benefits

Parental leave

Flexible vacation days

Weekly catered team lunches

Office happy hours

Team offsites & company-wide events

New equipment on your first day

Tonal discounts

Risks

CEO change may lead to strategic shifts affecting company stability.

Increased competition from brands like Lululemon threatens market share.

High marketing costs with Spartan Race may not convert to long-term customers.

Differentiation

Tonal uses AI to provide personalized strength training workouts.

The equipment offers up to 200 pounds of adaptive weight resistance.

Tonal's wall-mounted design saves space and offers over 245 exercises.

Upsides

Partnerships with niche sports like volleyball and pickleball expand market reach.

Integration with Fitbit Charge 6 enhances user experience with real-time heart rate streaming.

Retail expansion to Best Buy increases accessibility and potential customer base.

Land your dream remote job 3x faster with AI

Try Jobo Free