Senior Machine Learning Engineer (Computer Vision)

The Elevator Pitch

Join Evolv as Senior Machine Learning Engineer to spearhead AI innovation in physical security technology. As a key member of the ML/AI team you will be instrumental in developing and deploying state-of-the-art computer vision and deep learning solutions. Your role will involve leveraging diverse data sources including 3D cameras magnetic sensors and X-ray images to create multi-sensor solutions that operate in real-time on constrained hardware platforms. This hands-on position requires ownership of the entire data processing chain demanding technical expertise cross-functional collaboration and a drive for innovation. Your contributions will push the boundaries of AI-powered physical security screening solutions ensuring Evolv remains at the forefront of technological advancements in the industry.

Success in the Role: What are performance outcomes over the first 6-12 months you will work toward completing

In the first 30 days you will:

• Explore Evolvs sensors algorithms and development processes
• Work to understand real-time processing hardware limitations and environmental constraints for the Evolv product portfolio.
• Engage in continuous learning and actively participate in peer code reviews to enhance the quality and robustness of our solutions.
• Review existing model performance metrics and areas for improvement.

Within the First Three Months:

• Utilize various data sources to create multi-sensor solutions.
• Work with the product team to gather requirements and translate these to derived requirements that guide and inform ML development efforts
• Develop state-of-the-art computer vision and deep learning solutions.
• Engage in cross-functional communication with various engineering teams to disseminate ML ideas to inform roadmap and research priorities

By the End of the First Year:

• Design implement and deploy state-of-the-art CV solutions and algorithms at the edge on resource constrained hardware
• Effectively communicate with senior leadership to provide insights that shape strategic decisions.
• Execute the companys sensor-driven AI strategy aligning it with business objectives to drive growth and innovation.

The Work: What type of work will you be doing What assignments requirements or skills will you be performing on a regular basis

Technical Leadership:

• Lead the development of computer vision and modern machine learning initiatives including computer vision architectures and advanced neural networks.
• Architect novel algorithms and solutions by combining and fusing multiple sensor inputs.
• Recommend and implement best practices in model training validation and deployment.

Innovation:

• Execute the companys strategic R&D initiatives focused on innovation in sensors machine learning and artificial intelligence.
• Engage in customer demonstrations and proof-of-concept exercises to quickly gather feedback and incorporate it into an iterative design and development process.
• Identify and propose new opportunities for AI products and solutions.
• Stay current with the latest ML developments and drive continuous improvement in sensing capabilities.

Team Leadership:

• Mentor team members on the Algorithms & Sensors team.
• Enable rapid development through prioritization planning and automation.
• Drive innovation culture while maintaining a practical focus.
• Inform AI and sensor initiatives at the executive level.
• Work closely with cross-functional teams including product hardware software engineering and DevOps/SQA to integrate ML solutions into the security platform.

Technical Expertise Required: Machine Learning & Computer Vision

• PhD in Computer Science Machine Learning or related field with 5 years experience in computer vision/deep learning
• MS in Computer Science Machine Learning or related field with 10 years experience in computer vision/deep learning
• Proven experience delivering scalable production models
• Strong command of emerging tools and architectures in machine learning
• Understanding of 3D camera technologies
• Expertise in sensor fusion algorithms
• Experience with TensorFlow PyTorch and other ML frameworks
• Strong programming skills in Python and C.
• Knowledge of hardware acceleration technologies (GPU NPU and TPU)

What is the leadership like for this role What is the structure and culture of the team

You will join our R&D organization reporting directly to the Senior Director of ML and this role you will interface with cross-disciplinary teams of highly skilled and autonomous engineers with expertise in Electromagnetics Computer Vision and AI. The R&D organization comprises more than 60 dedicated developers and managers with deep expertise who are always willing to help. Leadership at Evolv lives our values: doing the right thing putting people first owning results winning together and being bold while staying curious. Youll be supported by leaders who set a clear vision foster collaboration and empower you to do your best work.

Where is the role located

This role is based at our headquarters in Waltham Massachusetts. Due to the nature of our software-enabled hardware products this position requires a minimum of 60% on-site work.

Compensation and Transparency Statement

The base salary range for this full-time position is $119000 $191000. In addition to base salary this role offers a competitive target bonus equity and a comprehensive benefits package. This range reflects our commitment to pay transparency and equity in alignment with applicable state laws. Our compensation ranges are determined based on factors such as role level location market benchmarks and internal equity. The posted range represents the good-faith estimate of what we expect to pay for this role across U.S. locations. Actual compensation within the range will be based on the candidates skills experience education and geographic location.

In accordance with state and local pay transparency lawsincluding those in California Colorado Massachusetts New York New Jersey and otherswe disclose salary ranges in all job postings and provide additional information upon request.

During the hiring process your recruiter will share:

• The specific salary range for your preferred location

• A general overview of our benefits and equity offerings

• Insights into how compensation decisions are made including factors that influence starting pay

We are committed to fair pay practices and we regularly review our compensation programs to ensure they are competitive equitable and aligned with our values.

At Evolv were on a mission to help make public spaces safer through innovative security technology. So were looking for future teammates who embody our values people who:

• Do the right thing always;

• Put people first

• Own it;

• Win together; and continue to

• Be bold stay curious.

When you join Evolv youll not only work with cutting-edge technology but also enjoy competitive benefits that support your well-being and personal growth.

Our Benefits Include:

• Equity as part of your total compensation package

• Medical dental and vision insurance

• Flexible Spending Accounts (FSA)

• A 401(k) plan (and 2% company match)

• Unlimited vacation policy

• Quarterly stipend for perks and benefits that matter most to you

• Tuition reimbursement to support your ongoing learning and development

• Subscription to Calm

Evolv Technology (Evolv) is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. We welcome and encourage diversity in the workplace and all employment decisions are made without regard to race color religion national social or ethnic origin sex (including pregnancy) age disability HIV Status sexual orientation gender identity and/or expression veteran status or any other status protected by law in the locations where we operate. Evolv will not tolerate discrimination or harassment based on any of these characteristics.

Evolv is committed to offering an inclusive and accessible experience for all job seekers including individuals with disabilities. If you need a reasonable accommodation as part of the job application process please connect with us at .