Head of Machine Learning

Head of Machine Learning

We are currently seeking a Head of Machine Learning to lead our machine learning team. You will own the machine learning lifecycle from research to deployment, driving the computer vision capabilities that power our category‑defining app.

The annual salary range for this role is $150,000-$250,000. 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.

• Own the Technical
  
  Roadmap:
  
  Define and execute the long‑term machine learning vision, ensuring our models continue to set the industry standard for real‑time sports AI.
• Innovation Leadership:
  Identify new capabilities in ML/AI and translate complex research into performant models that run efficiently on mobile edge devices.
• End‑to‑End Execution:
  Orchestrate the entire ML lifecycle — from data collection and annotation strategies to model training, evaluation, and deployment on iOS.
• Cross‑Functional Alignment:
  Work closely with iOS engineering, product, and design teams to remove roadblocks, integrate models seamlessly, and ensure high‑velocity delivery of core features.
• People Management:
  Directly manage, mentor, and elevate a talented, high‑performing team of machine learning engineers and data scientists.
• Empower & Develop:
  Conduct regular 1:1s, guide career progression, and remove blockers so the team can execute efficiently.
• Edge Computing Mastery:
  Advocate for on‑device performance, continuously optimizing neural networks for speed, memory, and battery efficiency using Core ML and the Apple Neural Engine.
• Data‑Driven Accuracy:
  Rigorously analyze model performance data to uncover edge cases and propose architectural experiments to increase tracking accuracy and precision.

• 5+ Years in Machine Learning / Computer Vision with a proven track record of shipping successful, production‑grade computer vision models, ideally for consumer or edge‑computing applications.
• Proven People Leader: 2+ years of experience directly managing machine learning or data science teams and recruiting, retaining, and developing top‑tier technical talent.
• Technical Leadership:
  Experience evaluating architectures and taking full accountability for ML outcomes.
• The “Player‑Coach” Mentality:
  Strategic enough to present technical roadmaps to the Board but scrappy enough to write PyTorch code, debug latency, or review data pipelines.
• Strong Communicator:
  Exceptional communication skills to distill complex AI concepts for non‑technical stakeholders and product teams.
• Product Passion:
  Avid user of Swing Vision.
• Startup DNA:
  Experience working in a Series A or similar high‑growth environment (team size