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1010 Analog Devices Inc.

Senior Engineer, Machine Learning

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What they do

A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.

$133,397 / year median in Massachusetts

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Job Description

About Analog Devices Analog Devices, Inc. (
NASDAQ:
ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in
FY25, ADI
ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X . Engineering foundations
  • 5+ years production infrastructure; strong Python plus one systems language (Go/Rust/C++)
  • Expert Linux, networking, and debugging across the full stack
  • Infrastructure-as-code (Terraform/Bicep) and containers, including GPU-enabled runtimes Cloud & orchestration
  • Production cloud experience (Azure preferred): IAM, storage, managed compute, cost control
  • Kubernetes with GPU workloads: scheduling, autoscaling, quotas MLOps
  • Distributed training infrastructure: multi-node GPU, checkpointing, fault recovery
  • Experiment tracking, model registry, dataset/artifact versioning
  • ML CI/CD
    with automated evaluation gates and rollback
  • Data pipelines for large multimodal datasets (video, tactile, time series)
  • Observability:
    GPU utilization, drift, data quality Edge deployment
  • Model optimization for constrained targets: quantization, ONNX, TensorRT
  • Deployment to embedded hardware (Jetson or similar) with OTA updates and rollback
  • Awareness of latency constraints in closed-loop control Collaboration
  • Proven record turning research prototypes into supported production systems
  • Mentoring engineers and driving practice adoption across a team
  • Clear design docs and runbooks For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce
  • Bureau of Industry and Security and/or the U.S. Department of State
  • Directorate of Defense Trade Controls. As such, applicants for this position
  • except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3)
  • may have to go through an export licensing review process.
Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group. EEO is the
Law:
Notice of Applicant Rights Under the Law .
Job Req Type:
Experienced Required Travel:
Yes, 10% of the time
Shift Type:
1st Shift/Days The expected wage range for a new hire into this position is $144,000 to $198,000. Actual wage offered may vary depending on work location , experience, education, training, external market data, internal pay equity, or other bona fide factors. This position qualifies for a discretionary performance-based bonus which is based on personal and company factors. This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time , and other benefits.

Benefits

  • Paid Time Off (PTO)
  • Sick Leave
  • 401(k) Plans
  • Health Insurance