Staff AI Engineer

Job not on LinkedIn

November 20

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

💵 $200k - $235k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

🦅 H1B Visa Sponsor

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Tonal

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B2C • Fitness • Hardware

Tonal is a cutting-edge home gym system that combines technology and exercise science to offer a personalized and efficient workout experience. It provides real-time resistance adjustments and data-driven coaching to help users maximize their fitness routine. With expert coaching, personalized tracking, and a variety of energizing workouts, Tonal aims to promote strength training and overall fitness from the convenience of home. This smart gym system uses AI to deliver insights and tailor workouts, ensuring users are always challenged and motivated to improve their physical health.

501 - 1000 employees

👥 B2C

🔧 Hardware

📋 Description

• 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

🎯 Requirements

• 7 plus years of experience in software engineering or applied ML, or 5 plus with a Master’s degree, or PhD with 3 plus 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

🏖️ Benefits

• Health insurance • Retirement savings benefits • Life insurance • Disability benefits • Flexible paid time off • Parental leave