Senior Machine Learning Engineer Edge Deployment Specialist
Senior Machine Learning Engineer Edge Deployment Specialist
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Job Description
Company Overview
At Motorola Solutions we believe that everything starts with our people. Were a global closeknit community united by the relentless pursuit to help keep people safer everywhere. Our critical communications video security and command center technologies support public safety agencies and enterprises alike enabling the coordination thats critical for safer communities safer schools safer hospitals and safer businesses. Connect with a career that matters and help us build a safer future.
Department Overview
As a Senior Machine Learning Engineer.
Job Description
This role is primarily hybrid with weekly travel into our London offices around 2 days a week.
As a Senior Machine Learning Engineer you will focus on deploying AI/ML models to a variety of edge devices with particular expertise in converting models for Ambarella and Novatek SoCs. You will collaborate with crossfunctional teams to ensure the efficient integration and optimization of models ensuring they run seamlessly on lowpower resourceconstrained devices.
Key Responsibilities
- Convert optimize and deploy deep learning models for edge devices focusing on Ambarella and Novatek SoCs.
- Collaborate with data scientists hardware engineers and software developers to tailor models for resourceconstrained environments.
- Develop and implement model compression quantization and pruning techniques to improve performance.
- Work closely with edge device firmware teams to ensure seamless integration of models and efficient on device hardware.
- Contribute to the continuous improvement of machine learning deployment processes and tools within the organization.
Basic Requirements
- Masters degree in a technical field.
- 5 years of professional experience in machine learning engineering with a focus on deploying models to edge devices.
- Strong understanding of model optimization techniques (quantization pruning knowledge distillation).
- Experience in C/Python programming and working with embedded systems.
- Strong communication skills and ability to work collaboratively in a teamoriented environment.
Differentiators:
- PhD in a technical field.
- Experience with other edge AI platforms (e.g. Nvidia Jetson OpenVino etc..
- Knowledge of cloudedge integration strategies for model updates and performance monitoring.
- Experience with Docker and Kubernetes.
- Experience deploying and optimizing models for Ambarella and/or Novatek SoCs.
In return for your expertise well support you in this new challenge with coaching and development every step of the way. Also to reward your hard work youll get:
- Competitive salary and bonus schemes.
- Two weeks additional pay per year (holiday bonus).
- 25 days holiday entitlement bank holidays.
- Attractive defined contribution pension scheme.
- Employee stock purchase plan.
- Life assurance.
- Enhanced maternity and paternity pay.
- Career development support and wide ranging learning opportunities.
- Employee health and wellbeing support EAP wellbeing guidance etc.
- Carbon neutral initiatives/goals.
- Corporate social responsibility initiatives including support for volunteering days.
- Well known companies discount scheme.
#LIKTB
Travel Requirements
Under 10
Relocation Provided
None
Position Type
ExperiencedReferral Payment Plan
YesCompany
Motorola Solutions UK LimitedEEO Statement
Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion or belief sex sexual orientation gender identity national origin disability veteran status or any other legallyprotected characteristic.
We are proud of our peoplefirst and communityfocused culture empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If youd like to join our team but feel that you dont quite meet all of the preferred skills wed still love to hear why you think youd be a great addition to our team.
Were committed to providing an inclusive and accessible recruiting experience for candidates with disabilities or other physical or mental health conditions. To request an accommodation please email .
Required Experience:
Senior IC
Employment Type
Full-Time
