Cambridge Mobile Telematics

Cambridge Mobile Telematics

Principal Machine Learning Engineer, Foundation Models

Cambridge, MA · Principal

Sponsorship not specified$198k-$248kDetected 15 days ago
PythonAlgorithmsAWSGCPAzureCloud PlatformsDockerMachine LearningDeep LearningTensorFlowPyTorchscikit-learnPandasNumPySparkAirflowData ScienceNLPLLMsMLOpsStatisticsElectrical EngineeringSensorsResearch

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odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level IV · 4×
Level I$114,2751 entry
Level II$138,2372 entries
Level III$162,1983 entries
Level IV$186,1604 entries

This range already reaches Level IV — the maximum four lottery entries.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Boston-Cambridge-Newton, MA-NH. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

2 transfer filings in the last year, covering 2 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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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
  • CMT enables partners to measure risk, detect crashes, provide life-saving assistance, and streamline claims.

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
  • Familiarity with techniques for model interpretability and explainability (XAI)
  • 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
  • Experience with MLOps practices and tools for managing the lifecycle of machine learning models

Nice to have

  • PhD or Master's degree preferred

Compensation

  • Unlimited PTO, flexible scheduling, competitive salary, annual performance bonus, RSUs, and full benefits including medical, dental, vision, and 401k match
  • The base salary range for this position is: $198,300 to $247,900. This range is specifically for Cambridge, MA
  • To date, CMT's technology has helped prevent over 126,000 crashes worldwide.
  • Base Salary Range
  • The base salary range for this position is: $198,300 to $247,900.

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.
  • 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

  • Commitment to Diversity and Inclusion:
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This listing is sourced directly from Cambridge Mobile Telematics's careers page and normalized into a canonical job model.