Senior Manager of AI/ ML & Sensors (eXpedite)

• Join Evolv as Senior Manager of AI/Machine Learning & Sensors for Expedite, our X-ray screening product
• You will lead a multidisciplinary team of scientists and engineers developing state-of-the-art computer vision and deep learning solutions for X-ray imaging that operate in real-time on constrained hardware platforms
• This role blends deep technical expertise—on par with our most senior individual contributors—with strong people leadership, stakeholder management, and project management skills
• You will own delivery of the Expedite ML roadmap end-to-end: setting technical direction, running execution, developing your team, and representing the program in stakeholder and executive forums
• Your leadership will push the boundaries of AI-powered physical security screening and ensure Evolv remains at the forefront of technological advancements in the industry
• In the first 30 days, you will:
• Explore Evolv’s sensors, algorithms, and development processes, with a focus on the Expedite X-ray product architecture and data pipeline
• Meet 1:1 with every member of the Expedite team of scientists and engineers to understand strengths, development goals, and current workstreams
• Work to understand real-time processing, hardware limitations, and environmental constraints for X-ray screening in the Evolv product portfolio
• Review the existing Expedite roadmap, model performance metrics, and delivery processes, and identify areas for improvement and deliver key milestones
• Build a stakeholder map across product, hardware, software engineering, regulatory, and customer-facing teams
• Within the First Three Months:
• Establish a predictable execution cadence for the Expedite team, including sprint planning, milestone tracking, and risk management
• Own and run recurring stakeholder meetings, providing clear status, trade-offs, and decision recommendations to product and executive stakeholders
• Work with the product team to gather requirements and translate these into derived requirements that guide and inform ML development efforts
• Provide hands-on technical guidance on X-ray computer vision and deep learning approaches, including model architecture and evaluation decisions
• Assess team structure and skills against the roadmap and propose a hiring and development plan
• By the End of the First Year:
• Deliver the major Expedite ML roadmap milestones on schedule, with production models deployed at the edge on resource-constrained hardware
• Build a high-performing, engaged team of scientists and engineers with clear career development paths, and successfully hire to plan
• Effectively communicate with senior leadership to provide insights that shape strategic decisions for the Expedite product line
• Execute the company’s X-ray and sensor-driven AI strategy, aligning it with business objectives to drive growth and innovation
• Manage, mentor, and grow a team of ML scientists and engineers working on the Expedite X-ray product
• Set clear goals and expectations, run regular 1:1s, deliver feedback, and own performance and career development for the team
• Recruit, interview, and onboard top ML and engineering talent
• Drive an innovation culture while maintaining a practical, delivery-oriented focus
• Own project planning and execution for Expedite ML workstreams: scoping, scheduling, resourcing, risk management, and delivery
• Prepare and lead stakeholder meetings with product, hardware, software engineering, regulatory, and executive audiences, communicating status, trade-offs, and recommendations clearly
• Coordinate cross-functional dependencies with product, hardware, software engineering, and SQA to integrate ML solutions into the Expedite platform
• Enable rapid development through prioritization, planning, and automation
• Engage in customer demonstrations and proof-of-concept exercises to quickly gather feedback and incorporate it into an iterative design and development process
• Set technical direction for X-ray computer vision and modern machine learning initiatives, including detection architectures and advanced AI/ML infrastructure and models to scale to current and future business use cases
• Guide the design of novel algorithms that leverage X-ray imagery, including approaches that combine and fuse multiple sensor inputs
• Recommend and implement best practices in model training, validation, and deployment for production edge systems
• Review technical designs and results, and stay hands-on enough to unblock the team and pressure-test key decisions
• Stay current with the latest ML developments and drive continuous improvement in X-ray sensing capabilities
• Inform AI and sensor initiatives at the executive level
• You will join our R&D organization, reporting directly to the VP of ML and Sensors, and will directly manage the Expedite team of scientists and engineers
• In this role, you will interface with cross-disciplinary teams of highly skilled and autonomous engineers with expertise in Electromagnetics, Computer Vision, and AI
• Our R&D organization includes more than 100 dedicated developers, engineers, and managers—each bringing deep technical knowledge and a strong culture of collaboration and support

Benefits

• $150 Quarterly Perks Stipend: All employees receive a quarterly stipend to help cover the cost of the perks that are most meaningful to them.
• Unlimited PTO: Evolv encourages employees to maintain a healthy work-life balance with our unlimited paid time off policy.
• 401k Match: Secure your future with our generous 401k matching program.
• Equity: At Evolv, every employee is a shareholder and can share in our collective success.
• Calm Subscription: Access Calm’s premium wellness and meditation resources to support your mental health.
• Flexible Working: Enjoy the flexibility to work in a way that suits your lifestyle and commitments.
• Tuition Reimbursement: Pursue further education and professional development with our tuition reimbursement program.

• Demonstrated project management skills (agile planning, milestone tracking, risk management) and excellent written and verbal communication for stakeholder and executive audiences
• Experience with TensorFlow, PyTorch, and other ML frameworks; strong programming skills in Python and C++
• Knowledge of hardware acceleration technologies (GPU, NPU and TPU)
• Strong command of emerging tools and architectures in machine learning
• Proven experience delivering scalable production models, ideally on resource-constrained edge hardware
• Experience with X-ray imaging, radiographic or other penetrating-sensor data (or closely related sensing modalities) strongly preferred
• 3+ years of direct people management experience leading teams of scientists and/or engineers
• PhD in Computer Science, Machine Learning, Physics, or related field with 5+ years’ experience in computer vision/deep learning, or MS with 10+ years’ experience
• Expertise in sensor fusion algorithms and multi-sensor systems