Full-Time Senior Machine Learning Engineer
Fitbod is hiring a remote Full-Time Senior Machine Learning Engineer. The career level for this job opening is Senior Manager and is accepting USA based applicants remotely. Read complete job description before applying.
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Join Our Team as a Senior Machine Learning Engineer! Be Part of Our Journey
Fitbod is on a mission to empower individuals to achieve their fitness goals by providing personalized workout experiences powered by advanced technology. Our team is passionate about fitness, data, and delivering a world-class user experience.
We're looking for a Senior Machine Learning Engineer to join our growing team. In this role, you will develop and deploy machine learning models that enhance the personalization and effectiveness of our fitness platform. You will work closely with product managers, data scientists, and engineers to deliver scalable and impactful solutions.
Why Strength Training? At Fitbod, we believe strength training is a simple, accessible way for anyone to improve quality of life. Our recommendation AI, employing advanced statistics, machine learning, and over 400 million fitness data points, creates highly personalized fitness plans.
Why You're Set Up for Success
Our product has proven market fit. We've achieved excellent retention and reliable growth, establishing a brand and demonstrating the positive impact of fitness for hundreds of thousands of users. We've hit less than 1% of our total addressable market. Our AI continues to innovate.
What's in It for You?
- Personal Growth: A personal development plan for your career.
- Mentorship: Opportunities to mentor and be mentored.
- Ownership: Own our codebase, machine learning models, pipelines, and processes.
- Impact: Your ideas and work will influence millions! Have your say in our product evolution.
Your New Role
- Design, develop, and deploy machine learning models to personalize workout recommendations and improve user engagement.
- Collaborate with cross-functional teams.
- Optimize and scale machine learning algorithms for real-time user interactions.
- Develop and maintain data pipelines and infrastructure.
- Evaluate model performance and iterate to improve accuracy and reliability.
- Stay up to date with machine learning advancements.
- Mentor junior engineers.
We're Looking for Someone Who:
- Loves working on a team, building, and deploying machine learning models.
- Is proactive, creative, and ready to take on new challenges.
- Has strong system and service observability skills.
- Embraces learning and growing.
- Balances speed with quality.
- Has familiarity with A/B testing and experimentation frameworks.
The Tech Stack:
- Kubernetes
- Python
- VertexAI
- PyTorch
Does This Sound Like You?
- Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field.
- 5+ years of experience.
- Proficiency in Python and machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn).
- Strong understanding of data preprocessing, feature engineering, and model evaluation.
- Experience deploying machine learning models.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills.