Senior AI/Machine Learning Engineer

Evolv Technology
Waltham, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 198K

Job location

Waltham, United States of America

Tech stack

Artificial Intelligence
Artificial Neural Networks
Continuous Integration
Python
Machine Learning
NumPy
Pandas
Scikit Learn
Information Technology
XGBoost
Machine Learning Operations
Feature Extraction

Requirements

  • Master's or PhD in Computer Science, Machine Learning, Engineering, Applied Math, Physics, or related field.

  • 3- 5+ years building and deploying ML models for real-world applications

  • Strong expertise in classical ML techniques (e.g., XGBoost, Random Forests, SVM, k-NN) and modern ML techniques (e.g., deep neural network, transformers).

  • Proficiency in Python, ML libraries (scikit-learn, NumPy, pandas) and C+

    • Experience with multi-class classification on real-world, noisy datasets.
  • Strong statistical and model evaluation skills.

Preferred Qualifications:

  • Experience with sensor or time-series data (magnetic, radar, 3D, IoT).

  • Advanced feature extraction (FFT, windowing, frequency domain).

  • Experience with imbalanced datasets and label quality challenges.

  • Familiarity with feature importance and interpretability tools

  • MLOps experience: MLflow/W&B, CI/CD for ML, drift detection.

  • Experience optimizing models for edge devices.

Example Problems You Will Own:

  • Redesign a multi-class sensor-based classification pipeline for improved accuracy, stability, and inference speed.

Benefits & conditions

What is the salary range? The base salary range for this full-time position is $152,000 to $198,000. 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. So, we're 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.

Our Benefits Include:

  • Equity as part of your total compensation package

  • Medical, dental, and vision insurance

  • Health Savings Account (HSA)

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

  • Flexible Paid Time Off (PTO)- take the time you need to recharge, with manager approval and business needs in mind

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

  • Tuition reimbursement to support your ongoing learning and development

About the company

You will join our R&D organization, reporting directly to VP 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, scientists, managers and directors, 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% or 3 days on-site work. Candidates MUST live within commutable distance to our office in Waltham, MA

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