Senior ML Engineer developing and improving ML Ops frameworks for autonomous vehicle solutions at Torc Robotics. Collaborating with developers to drive future innovations in autonomous freight on a global scale.
About the role
- Machine Learning Engineer enhancing Optro's audit and risk management solutions. Utilizing modern AI techniques and collaborating with cross-functional teams for innovative product features.
Responsibilities
- Build, ship, and own product features end-to-end
- Work with designers, and product managers to create high-performing product features.
- Apply a range of techniques—from classical ML to LLM-based approaches (RAG, prompt engineering, fine-tuning, semantic search)—with a strong focus on reliability, performance, and maintainability
- Write well-designed, maintainable, and testable code
- Write clear and well-defined design documentation
- Troubleshoot, debug, and resolve software bugs
- Be product-minded and think about the customer
- Stay updated on AI/ML advancements and explore new techniques and tools.
- Participate in an Agile software development life cycle
- Work with Python, JavaScript, Node.JS, Docker, PostgreSQL, Kubernetes, etc
Requirements
- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field
- 8 plus years of hands-on experience in developing and deploying machine learning models
- Ability to write scalable production-quality code
- Proficiency in classical machine learning methods and familiarity with newer techniques like LLMs
- Excellent programming skills in Python, Java, or similar languages
- Experience with machine learning frameworks such as TensorFlow, PyTorch, Hugging Face, Keras, MXNet, or scikit-learn.
- Familiarity with search/information retrieval, and ranking systems
- Strong communication skills and ability to work collaboratively
- Analytically minded with a focus on metrics and evaluation
- Motivation to work hard and always be learning
- Preferred: Experience with Node.JS and modern ES6 or TypeScript
- Preferred: Experience working on SaaS web applications
- Preferred: Basic understanding of distributed systems
- Preferred: Bonus: Docker, Kubernetes experience, AWS/Azure cloud infrastructure
Benefits
- Live your best life (LYBL)! $200/mo for anything that enhances your life
- Comprehensive employee health coverage (all locations)
- 401K with match (US) or pension with match (UK)
- Competitive compensation & bonus program
- Flexible Vacation (US exempt & CA) or 25 days (UK)
- Time off for your birthday & volunteering
- Employee resource groups
- Opportunities for team and company-wide get-togethers!
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