Tech Lead, Machine Learning

Tech Lead, Machine Learning

Canopy

Competitive
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About Us - Canopy


We’re all in - are you?


Canopy is a brand new company with a unique mission, solving 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?


Read more about us here


The Role:


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.

As the Tech Lead within the “Vehicle Tamper” team your role will revolve around defining the technical strategy and ensuring the team delivers against the plan. You should have a passion for solving real world problems by finding innovative solutions and pushing the boundaries of what is possible.


Major Responsibilities:

  • Define the technical strategy for the sound recognition team and build a roadmap to implement the plan.
  • Define measures of success for the team and coordinate resources to meet deadlines.
  • Work with the product manager to understand the customer opportunities and translate those into technical deliverables.
  • Support the team in technical work, leveraging your experience in ML to train, debug, and evaluate models.
  • Lead the way in defining and improving best practices of ML systems development, testing and evaluation.
  • Work closely with data collection suppliers and QA & ML Ops engineers to define test plans and metrics.
  • Work with the engineering manager to determine hiring and resource management strategies.

How do we recruit?

  1. Initial screening call with one of our Talent team members (~30mins)
  2. First Interview with Hiring Manager (1 hour)
  3. [Second/Culture/Values Interview with team members (1 hour)]
  4. [Potential 30min with leadership] (As needed)

Support - Canopy is committed to the full inclusion of all qualified individuals. As part of this commitment, Canopy will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact recruitment@canopy.security


Our Values


Collective Spirit: We thrive as a team of unique individuals, fostering our diverse community as we forge ahead on this journey together.


Growth Mindset: We are accelerating at speed, building our resilience and always growing our capabilities to adapt to the fast-changing market.


Build Your Expertise: We apply our intelligence, continuously inventing to push cutting edge innovation and future-proof our technology.


Human Centric: We prioritize experiences, putting people at the core, proactively identifying potential needs and offering customized solutions.


Diversity, Equality and Inclusion


We value diversity — in backgrounds and in experiences. Security is a universal concern, and we need people from all backgrounds.


We are an Equal Opportunity Employer and our employees are people with different strengths, experiences and backgrounds, who share a passion for improving people's lives. We are committed to diversity and equality of opportunity for all and opposed to any form of less favorable treatment or harassment on the grounds of gender, marital status, civil partnership status, parental status, race, ethnic origin, color, nationality, national origin, disability, sexual orientation, religion/belief, gender reassignment and gender identity, age and those with caring responsibilities.


All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.


Requirements

  • Demonstrated experience in the Tech Lead role in a machine learning team or similar field.
  • Previous project management experience when undertaking a complex project.
  • Extensive knowledge of applying machine learning or statistical techniques to solve real-world problems, ideally within the audio domain (e.g., sound recognition, speech processing, etc.).
  • Strong experience using Python and common data and machine learning-related libraries, such as Keras/TensorFlow or Pytorch, numpy, scipy, Pandas, etc.
  • Proficiency using the command line including shell scripting, ideally in a Unix-based environment (e.g. Linux, macOS).
  • Knowledge of basic audio or signal processing techniques desired.
  • Experience using cloud computing platforms, e.g., AWS or GCP desired.
  • Software Engineering skills encompassing software version control, unit testing, documentation, and continuous integration

Benefits


*With a global team, our benefits will vary depending on location - for more information, please ask*

  • 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



security
developer
Software Development