Senior ML Engineer: Production Systems (Cloud & Edge)

Cambridge Mobile Telematics; Cambridge (MA); Hybrid; USD 177,000 - 221,000; Full time

Benefits offered by this job

Annual bonus

Restricted Stock Units (RSUs)

Medical insurance

401(k) matching

Disability insurance

Parental leave

Unlimited PTO

Flexible scheduling

Work from home policy

Job summary

Cambridge Mobile Telematics is seeking an experienced ML engineer to build production-grade ML systems that power risk assessment, engagement, and event detection across cloud and edge environments.

You will design, build, and operate scalable ML systems, converting advanced models for sequential and multi-modal data into reliable products, while partnering with research, product, and platform teams to deliver measurable business impact.

Qualifications

• Master's degree or equivalent years of experience and/or certification in Data Science, Computer Science, Electrical Engineering, Physics, or Mathematics
• 7+ years of professional experience in AI/ML
• 3+ years hands-on experience developing and deploying deep learning models
• Strong portfolio in generative AI for sequential or spatio-temporal data
• Strong software engineering skills in Python
• 2+ years AWS experience with EC2, S3, Lambda, Athena, Redshift, etc.
• 2+ years experience using Python, C++, Scala, etc.
• Strong knowledge of SQL, including complex SQL statements
• Excellent problem solving, communication, and cross-functional collaboration

Responsibilities

• Design, build, and operate production ML systems at scale
• Convert advanced models for sequential and multi-modal data into reliable products
• Enable risk assessment, engagement, and event detection through ML-driven capabilities
• Partner with research, product, and platform teams to deliver measurable business impact
• Collaborate to deploy solutions across cloud and edge environments

Skills

AI/ML experience

Python

C++

Scala

SQL

Problem solving

Cross-functional collaboration

Generative AI

AWS

EC2

S3

Lambda

Athena

Redshift

Education

Master's degree or equivalent in Data Science/CS/EE/Physics/Math

Tools

AWS

EC2

S3

Lambda

Athena

Redshift

Python

C++

Scala

Job description

Cambridge Mobile Telematics is seeking an experienced ML engineer to build production-grade ML systems that power risk assessment, engagement, and event detection across cloud and edge environments.

You will design, build, and operate scalable ML systems, converting advanced models for sequential and multi-modal data into reliable products, while partnering with research, product, and platform teams to deliver measurable business impact.