Cambridge Mobile Telematics

Principal Machine Learning Engineer, Foundation Models

Cambridge, MA · Principal

Sponsorship not specified$177k-$221kDetected 22 days ago

PythonAlgorithmsAWSGCPAzureCloud PlatformsDockerMachine LearningDeep LearningTensorFlowPyTorchscikit-learnPandasNumPySparkAirflowData ScienceNLPLLMsMLOpsStatisticsElectrical EngineeringSensorsResearch

About the role

Your work will directly contribute to enhancing our capabilities in risk assessment, driver engagement, and crash and claims processing.
CMT is looking for a Principal Machine Learning Engineer, Foundation Models to help us change the world.
CMT has helped protect over 65 million drivers and prevent over 126,000 crashes worldwide.

Responsibilities

Use independent judgment and discretion to lead the design, pre-training, fine-tuning, and deployment of novel foundation models for vehicle telematics
Develop and implement novel algorithms for modeling both automotive physics and human driving behavior
Develop models robust to noise, missing data, and diverse operating conditions typical of real-world mobile sensor and IoT datasets
Build and manage scalable training and inference pipelines using tools like Ray, PyTorch DDP, Horovod, or similar frameworks
Optimize these AIs for efficient deployment on various platforms, including cloud and edge/mobile devices
Collaborate closely with engineering, product, and research teams to translate cutting-edge research into impactful products and features for the DriveWell Atlas platform
Move fast, own outcomes, do work that matters

Requirements

Bachelor's degree or equivalent years of experience and/or certification in Artificial Intelligence, Computer Science, Electrical Engineering, Physics, Mathematics, Statistics, or a related field
7+ years of professional experience in AI/ML
Strong, hands-on experience in building and training time-series transformer architectures for complex sensor fusion and behavioral modeling tasks is required
Proficiency in Python and common data science libraries (e.g., Pandas, NumPy, scikit-learn)
Solid understanding and practical experience with distributed training techniques and efficient training methodologies for large models
Excellent problem-solving skills and the ability to translate complex business problems into tractable AI-based solutions
Strong verbal/written communication and collaboration skills, with the ability to effectively convey complex technical concepts to diverse audiences
3+ years of hands-on experience developing and deploying foundation models, with a strong portfolio in generative AI for sequential or spatio-temporal data
Deep expertise in designing pretraining tasks for self-supervised learning on noisy, real-world sensor data
Extensive experience with deep learning frameworks such as PyTorch (preferred) or TensorFlow for large-scale model training and deployment
Experience building and maintaining large-scale data processing pipelines and machine learning infrastructure using tools like Spark, Airflow, Docker, and cloud platforms (e.g., AWS, GCP, Azure)
Product-focused thinking with a proven ability to deliver impactful AI solutions

Nice to have

PhD or Master's degree preferred
Publications in top-tier AI/ML conferences or journals
Familiarity with techniques for model interpretability and explainability (XAI)

Compensation

This range is specifically for Cambridge, MA
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
Recognized innovator in mobility AI, earning top honors including the TIME Industry Leader in AI, a Gold Edison Award, and the Artificial Intelligence Excellence Award for AI for Social Good. CMT is also Great Place to Work Certified
Be part of the team inventing the future of mobility and road safety
Move fast, own outcomes, do work that matters
Base Salary Range
The base salary range for this position is: $177,000 to $221,300.

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

Company info

Cambridge Mobile Telematics (CMT) is the world's largest telematics and AI company for safer mobility.
Its mission is to make the world's roads and drivers safer.
The company's AI-driven platform, DriveWell Fusion®, proactively identifies and reduces driving risk, leading to fewer crashes and injuries.
To date, CMT's technology has helped prevent over 126,000 crashes worldwide.
CMT enables partners to measure risk, detect crashes, provide life-saving assistance, and streamline claims.
Headquartered in Cambridge, MA, CMT operates globally with offices in Budapest, Hungary; Chennai, India; Seattle, Washington; Tokyo, Japan; and Zagreb, Croatia.
Learn more at www.cmt.ai.
Be part of the team inventing the future of mobility and road safety

Equal opportunity

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 from all backgrounds to join our growing team.
We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state.

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This listing is sourced directly from Cambridge Mobile Telematics's careers page and normalized into a canonical job model.