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Evolv Technology

Principal Machine Learning Engineer

Posted 11 Days Ago
Remote
Hiring Remotely in Waltham, MA
155K-180K Annually
Senior level
Remote
Hiring Remotely in Waltham, MA
155K-180K Annually
Senior level
The Principal Machine Learning Engineer will lead AI innovation, develop computer vision and deep learning solutions, and mentor team members while collaborating across engineering disciplines.
The summary above was generated by AI
Description
The Elevator Pitch 

Join Evolv as Principal 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 Evolv’s 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 company's 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 company's 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 sensors. 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. 

The team culture is one based on building trust, collaboration, on-going development through kindness, authenticity, courage, drive, and fun! 

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. 

What is the salary range? 

The base salary range for this full-time position is $155,000- $180,000+ bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. 

Please note that the compensation details listed in role posting reflect the base salary only, and do not include commission, equity, or benefits. 

Benefits

At Evolv, we’re on a mission to help make public spaces safer through innovative security technology. Rooted in our values of authenticity, kindness, courage, drive, and fun, we offer the opportunity to make a real impact. Our team thrives in a supportive, honest environment where creativity and collaboration are celebrated, and where we challenge the status quo to keep improving. 

When you join Evolv, you’ll 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 .

Top Skills

C++
Computer Vision
Machine Learning
Python
PyTorch
TensorFlow
HQ

Evolv Technology Waltham, Massachusetts, USA Office

Our office is located in the Wolverine building near the Cambridge Reservoir.

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