Machine Learning Engineer
Machine Learning Engineer at SwingVision, the AI racket sports app, working across the full ML lifecycle — research, training, testing, and deployment — to power the computer vision features of its mobile app. Core stack includes Python, PyTorch, TensorFlow, Swift, and Apple Core ML, on-site in Berkeley, CA.
- Compensation
- $130K–$200K / yr
- Location
- Berkeley - CA
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ml / AI
- Posted
Skills
Must have
- Bachelor's degree in Computer Science, Data Science, or related field
- Basic understanding of machine learning principles and techniques
- Familiarity with Python and machine learning libraries such as PyTorch and TensorFlow
- Strong problem-solving skills and a keen attention to detail
- Avid user of SwingVision
Nice to have
- Experience working in a Series A or similar high-growth environment (team size <50)
- Deep expertise in Python, PyTorch, Swift, and Apple's Core ML framework
- MS or PhD in Computer Science, Statistics or a related major
- Background in sports analytics, kinematics, or a deep understanding of racket sports mechanics
Full description
SwingVision is the AI racket sports app that provides automated stats, highlights, and line calling using just your phone. Our mission is to democratize the pro sports experience for all athletes.
Led by AI experts from Tesla & Apple, we are a small but passionate team building a category-leading consumer product and pushing the limits of what’s possible on a mobile device.
Recent achievements include:
- Apple Design Award, Editors' Choice on the App Store, and 4x App of the Day
- Featured in Apple Keynote events, Forbes, Financial Times & The New York Times
- Trusted by 500k+ players, coaches, and federations all across the globe
- $10m+ raised from Sony, Tennis Australia and Andy Roddick
💼 The Role
We are currently seeking a Machine Learning Engineer to join our team in Berkeley, CA. You will contribute to the entire machine learning lifecycle from research and training to testing and deployment, driving the computer vision capabilities that power our category-defining app.
The annual salary range for this role is $130,000-$200,000. The final salary will be based on a number of factors, including the candidate's experience, qualifications, and location.
Additional benefits include: equity, performance-based bonus, PTO, 401(k); and medical, dental & vision.
🧰 Responsibilities
- Assist in designing and developing machine learning models and algorithms.
- Contribute to data collection, data cleaning, and preprocessing tasks.
- Support senior engineers in the deployment and monitoring of machine learning models.
- Participate in team meetings and contribute innovative ideas.
🎯 Requirements
- Bachelor’s degree in Computer Science, Data Science, or related field.
- Basic understanding of machine learning principles and techniques.
- Familiarity with Python and machine learning libraries such as Pytorch and TensorFlow.
- Strong problem-solving skills and a keen attention to detail.
- Avid user of SwingVision.
⭐️ Preferred
- Experience working in a Series A or similar high-growth environment (team size <50).
- Deep expertise in Python, PyTorch, Swift, and Apple's Core ML framework.
- MS or PhD in Computer Science, Statistics or a related major.
- Background in sports analytics, kinematics, or a deep understanding of racket sports mechanics.