At Motorola Solutions, we're guided by a shared purpose - helping people be their best in the moments that matter - and we live up to our purpose every day by solving for safer. Because people can only be their best when they not only feel safe, but are safe. We're solving for safer by building the best possible technologies across every part of our safety and security ecosystem. That's mission-critical communications devices and networks, AI-powered video security & access control and the ability to unite voice, video and data in a single command center view. We're solving for safer by connecting public safety agencies and enterprises, enabling the collaboration that's critical to connect those in need with those who can help. The work we do here matters.

The AI/ML Engineer is responsible for developing, integrating, and deploying artificial intelligence algorithms for Cloud and embedded electronics. The Engineer will assist in generating project requirements and will develop code, determine appropriate software methods, gather data for system training and conduct testing to prove compliance with project requirements. The role provides input in the technology direction for our Cloud and IoT products to best leverage AI & ML techniques to a deliver a competitive edge to our products.

Scope of Responsibilities / Expectations:

• Develops, integrates, and implements algorithms to improve our platforms to respond to complex situations.
• Implements algorithms into software to train systems to recognize patterns and perform specific functions.
• Work with engineering teams to gather data needed to train AI models.
• Conduct tests on AI/ML models/engines to ensure compliance with project requirements.
• Participate in company technology discussions to identify early position of designs to best leverage AI/ML techniques.
• Work with the project management team to manage AI/ML related projects providing effort estimates and delivery schedules.
• Routinely provide updates to management and stakeholders on project status.

Desired Background/Knowledge/Skills:

• 5+ years of experience working within AI and machine learning
• Proven track record of applying AI and ML techniques using large data feeds to solve complex problems.
• Knowledge of classical AI and ML techniques.
• Experience in machine learning frameworks and deep learning toolsets.
• Experience designing and implementing ML techniques aimed at solving specific problems.
• Experience with programming languages (e.g. Python, C++, Java, MatLab etc.)
• Experience working with analyzing large scale data from a variety of sources and applying statistical methods as needed.
• Experience in applying AI and ML techniques to embedded systems.
• Bachelors Degree
• Experience working in video AI, camera vision, and pattern recognition would be a plus

The base salary for this position in New York is $120,000 - $150,000 depending on experience.

#LI-CA1

• Bachelor's Degree
• 2+ years of experience in AI/machine learning

Our U.S.Benefitsinclude:

• Incentive Bonus Plans
• Medical, Dental, Visionbenefits
• 401K with Company Match
• 9 Paid Holidays
• GenerousPaidTime Off Packages
• Employee Stock Purchase Plan
• PaidParental & Family Leave
• and more!

EEO 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 legally-protected characteristic.

We are proud of our people-first and community-focused 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 you'd like to join our team but feel that you don't quite meet all of the preferred skills, we'd still love to hear why you think you'd be a great addition to our team.

We're 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 .