Machine Learning Engineer

Responsibilities

• Use independent judgment and discretion to develop ML / DL models which pattern driving behaviors and vehicle kinematics in data collected via smartphone sensors
• Assist with projects and solutions through the full development stages, from data pre-processing, modeling, testing, through roll-out with minimum management oversight
• Write code for debugging complex issues and creating new solutions that will run as part of production systems
• Support customers' requests regarding the production ML models and derive deep insights from data
• Use independent judgment and discretion to communicate and present data science work within the data science team as well as to stakeholders across the org and to collaborate across different teams
• Complete any additional tasks as they arise

Requirements

• Bachelor's degree or equivalent years of experience and/or certification in Data Science, Computer Science, Statistics, Mathematics or Engineering
• 2+ years of professional experience in the Data Science field
• A good understanding of data science principles, algorithms and practices, such as machine learning, deep learning, statistics and probability
• Knowledge of software development process, and proven coding skills using scripting languages e.g. Python, Pandas, NumPy, scikit-learn and SQL
• Ability to write and navigate code, request data from data sources and code from scratch
• Experience with deep learning frameworks (TensorFlow, Keras, Torch, Caffe, etc.) and knowledge of Big Data infrastructure (Hadoop, Spark, etc.) will be a plus
• A great team player and quick learner
• Experience with one or more of the following:
• Time-series / sensor modeling (inertial signals, GPS-derived features, mobile/IoT data)
• Distributed systems or big-data processing (streaming/batch pipelines; e.g., Kafka/Spark/Ray-style ecosystems)
• GPU programming / performance optimization (CUDA, kernel-level efficiency, profiling/benchmarking, mixed precision training, and memory/performance tuning)
• Model compression techniques (post-training quantization, pruning)
• Demonstrated ability to translate ideas into working prototypes (course projects, research, prior roles).
• Compensation and Benefits:
• Fair and competitive salary based on skills and experience, and annual performance bonus
• Equity may be awarded in the form of Restricted Stock Units (RSUs)
• Medical, Dental, Vision and Life Insurance, matching 401k, short-term & long-term disability and parental leave
• Unlimited Paid Time Off including vacation, sick days & public holidays
• Flexible scheduling and work from home policy depending on role and responsibilities
• Base Salary Range
• The base salary range for this position is: $123,000 to $153,700. This range is specifically for Cambridge, MA
• Additional Perks:
• Work on a mission with real impact: crashes prevented, injuries avoided, lives protected around the world
• Join an industry leader - 65 million drivers protected, powering 140+ programs across 25 countries
• Be part of the team inventing the future of mobility and road safety
• Move fast, own outcomes, do work that matters
• High ownership, small teams, and direct access to leadership - no layers between your work and its impact
• Unlimited PTO, flexible scheduling, competitive salary, annual performance bonus, RSUs, and full benefits including medical, dental, vision, and 401k match
• Summer Fridays
• Join one of our employee resource groups: Black, AAPI, LGBTQIA+, Women, Book Club, and Health & Wellness
• Comprehensive wellness, education, and employee assistance programs
• Commitment to Diversity and Inclusion:
• At CMT, we believe the best ideas come from a mix of backgrounds and perspectives.
• We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates

Benefits

Additional Information

CMT is building DriveWell Atlas , a family of foundation models trained on large-scale, multi-modal telematics signals (e.g., inertial sensors, GPS-derived signals, device/context features) to power safer driving outcomes across risk, safety, crash and claims workflows. As an IC2 Foundation Models contributor, you will work closely with senior scientists and engineers to prototype, train, evaluate, and deploy time-series foundation models-while also helping optimize the underlying training/inference systems for scale and efficiency. This role is hands-on, highly technical, and well-suited for someone with strong software fundamentals and growing applied ML experience. CMT has helped protect over 65 million drivers and prevent over 126,000 crashes worldwide. We build AI to solve some of the most difficult challenges in mobility - understanding and reducing risk, detecting crashes, and getting people life-saving help. The problems are hard. The impact is real. No matter your role, your work will matter at CMT.

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at cambridgemobiletelematics? Share your experience