Remote Principal Data Scientist, AI

Description:

• The Principal Data Scientist, AI position is located in Massachusetts (USA) and is posted by Jobgether on behalf of Cambridge Mobile Telematics (CMT).
• This role involves designing and deploying advanced AI systems using real-world sensor and telematics data.
• The candidate will lead the development of multi-modal and time-series models aimed at improving risk prediction, crash detection, and driver behavior analysis.
• The position requires collaboration across teams to transform innovative ideas into impactful, scalable products.
• Responsibilities include leading the end-to-end lifecycle of advanced AI models, designing physics-aware and self-supervised learning algorithms, and building robust ML pipelines using distributed computing frameworks.
• The role also involves integrating AI models into production systems, driving cross-functional collaboration, mentoring junior data scientists, and staying updated with AI advancements.
• Additional tasks include model explainability, bias mitigation, and AI lifecycle management.

Requirements:

• A PhD or Master’s degree in AI, Computer Science, Physics, Math, or a related field is required.
• The candidate must have 7+ years of experience in AI/ML, with at least 3 years focused on developing and deploying foundation models such as BERT or GPT.
• Proven expertise in multi-modal and time-series transformers, self-supervised learning, and spatio-temporal modeling is essential.
• Proficiency in Python and libraries like Pandas, NumPy, and scikit-learn is required.
• Deep hands-on experience with PyTorch (preferred) or TensorFlow for model development and deployment is necessary.
• A strong background in distributed training methods and large-scale ML workflows is expected.
• Familiarity with cloud platforms (AWS, Azure, GCP), Docker, Spark, and Airflow for MLOps is important.
• Excellent problem-solving and communication skills, along with a product-oriented mindset, are required.
• Preferred qualifications include knowledge of XAI, model guardrails, ethical AI practices, and publications in top AI/ML venues.

Benefits:

• The position offers a competitive salary and an annual performance bonus based on experience and impact.
• Equity opportunities are available through Restricted Stock Units (RSUs).
• Comprehensive medical, dental, vision, and life insurance are provided.
• The company offers a matching 401(k), short- and long-term disability, and parental leave.
• Employees enjoy unlimited paid time off, including vacation, sick days, and holidays.
• Flexible work schedules and hybrid/remote work options are available depending on the role.
• Wellness, education, and employee assistance programs are part of the benefits package.
• Employees have access to employee-led communities and diversity resource groups.