Director of AI Engineering & Data Science
London, England, United Kingdom
Applications have closed
Canopy
Discover Canopy Security's innovative Pickup Cam, offering 24/7 monitoring to protect your tools and equipment. Experience peace of mind with our cutting-edge technology designed for tradespeople and truck owners.Description
Canopy is a brand-new company with a unique mission, solving for one of the biggest and growing challenges vehicle owners face – the threat of theft. A start-up with a compelling proposition, patented cutting-edge AI technology, and a unique layer of expert monitoring from security specialists, we’re backed by Ford and ADT. Together, we’re determined to help vehicle owners stay one step ahead of potential threats by warning them before they happen. Our next step is to take our service to market and write the next big security technology success story. We’re all in. Are you?
The Canopy team is a global product team delivering connected security solutions for vehicles which deliver customers ultimate peace of mind. You would be joining a team of highly motivated individuals in a fast-paced environment where cross-functional sub-teams are all working towards a common goal. This is an opportunity to build impactful products that are deployed in the real world.
The Director of AI Engineering & Data Science role is highly visible and impactful, shaping how cutting edge AI technologies are engineered and implemented within Canopy products. This role will be great for you if you are motivated by solving real world problems through innovative solutions now, while preserving a passion and excitement for what the future holds.
Responsibilities
- Provide thought leadership in state-of-the-art machine learning techniques
- Design and establish our data science practice, helping to steer product feature development and prioritization
- Lead, manage, and grow a multi-disciplinary team of machine learning, data, and MLOps engineers and managers
- Bring production-grade AI/ML solutions to market, leveraging industry benchmark best practices
- Collaborate and ensure AI technology roadmap is aligned with the strategic vision of VP of Engineering and VP of Product
- Foster user empathy amongst teams to uncover disruptive AI innovation
- Define innovation goals, such as patent filings, for the team
- Champion experimentation with new models and techniques
- Oversee data mining and collection procedures
- Ensure data quality and integrity; uphold ethics and fairness of AI
Requirements
- Master level degree in Computer Science, Data Science, Mathematics or similar field
- Significant experience as a director of engineering (or similar) leading and growing high-performing engineering teams and managing managers
- Demonstrated experience in applied AI/ML in at least two of the following areas Computer Vision, Audio Processing, Mixed Reality, Data Analytics, Affective Computing
- Extensive experience in at least one cloud platform (ex. AWS) and associated machine learning services (ex. Amazon SageMaker)
- Excellent knowledge across Python, TensorFlow, PyTorch, Numpy, Matplotlib, Seaborn, etc.
- Proven success bringing a product to market with AI capabilities
- Demonstrated ability to clearly explain and discuss machine learning concepts with colleagues and business leaders of varied levels and backgrounds
- We would like your presence in the office to match that of how the team currently works, so a minimum of 2/3 days office based work per week
Benefits
- Medical, dental, vision cover
- Life Insurance
- Retirement planning: 401K or UK pension scheme contributions
- Employee assistance program- wellness & mental health support
- Continuous education support/allowance
- Flexible work from home policy
- Generous paid time off per year
- Paid community outreach days: 2
- Wellness day observed on the last Friday of every month
- Parental leave: Generous Maternity, Paternity & Adoption leave, with 10 days full pay if there is a loss of child due to stillbirth, miscarriage.
- Ford plan car discount program
- Bereavement support
Tags: AWS Computer Science Computer Vision Data Analytics Data Mining Data quality Engineering Machine Learning Mathematics Matplotlib MLOps NumPy Python PyTorch SageMaker Seaborn Security TensorFlow
Perks/benefits: 401(k) matching Career development Flex hours Flex vacation Health care Home office stipend Medical leave Parental leave Startup environment Wellness
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