39 ml infrastructure engineer jobs at 28 companies in Everett, MA
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Own the crawlers, pipelines, and infrastructure powering a real-time job search engine. Strong Node.js and Python fundamentals; bonus points for security and reverse-engineering chops.
Axcelis TechnologiesNASDAQ: ACLS: Designs and manufactures ion implantation equipment for semiconductor manufacturing.
5+ YOEBachelor's or Master's in CS/Engineering, 5+ years experience building ETL/ELT data pipelines, strong Python and SQL skills, database design and distributed systems experience, familiarity with JSON/logs, data traceability, validation, and governance.
KlaviyoNYSE: KVYO: Software platform for automated e-commerce marketing and customer data.
10+ YOE10+ years building and operating distributed data systems; expertise in ingestion/CDC, stream processing, batch orchestration, lakehouse patterns, governance, SLOs, and applying AI/ML to data platforms.
Member of Technical Staff – Senior Engineer, Data Infrastructure & Data Operations
San Francisco or Cambridge
$255k-$340k/yrOnsiteFull Time
Walden Robotics: Builds general-purpose robots and develops the teams and infrastructure to scale robot applications and improve quality of life.
Experience building production data infrastructure and high-throughput pipelines, cloud-based data platform development, platform reliability and cost ownership, and collaboration with ML teams.
Senior AI Infrastructure Platform Engineer, Assistant Vice President
Quincy or Austin
$90k-$158k/yrOnsiteFull Time
State StreetNYSE: STT: Provides investment management and custody services to institutional investors.
5+ YOELead GenAI/Agentic AI projects; strong full-stack development and architecture; collaboration with business and IT; experience with cloud and AI/ML tools.
Python, FastAPI, Unix, Docker, PostgreSQL, Lang Chain, Kubernetes, Databricks, API Management, AWS, Azure, OpenAI
MetaNASDAQ: META: Develops social networking platforms and virtual reality technologies.
Bachelor's degree or equivalent; specialized experience in AI/ML infrastructure, hardware accelerators, GPU architecture, ML compilers or ML systems; development experience in C/C++ or Python; experience with PyTorch preferred.
5+ YOEBachelor's in CS or equivalent, 5+ years technical experience, 2+ years running AI/ML workloads on GPUs/TPUs with Kubernetes/GKE, 2+ years producing developer content; Python preferred.
Senior AI Infrastructure Platform Engineer, Assistant Vice President
Quincy or Austin
$90k-$158k/yrHybridFull Time
State StreetNYSE: STT: Provides investment servicing and management to institutional investors.
5+ YOELead/architect AI automation platforms; hands-on development with AI/ML, cloud, and DevOps; senior engineer capable of driving projects and collaborating with cross-functional teams.
Python, FastAPI, Unix, Docker, Postgres, Lang Chain, Lang Graph, Kubernetes, Databricks, API Management, AWS, Azure, OpenAI, Azure Foundry, Sagemaker, Lambda, EKS
Boston Dynamics: Building advanced mobile robots for industrial and warehouse automation.
7+ YOE2+ Mgmt7+ years engineering experience with 2+ years management; experience building/scaling ML/platform/infrastructure teams; expertise in GPU/distributed compute, large-scale data storage, and pipeline frameworks; hands-on coding and strong cross-functional communication.
Iterative Health: Develops AI-driven precision medicine for gastrointestinal clinical research.
10+ YOE10+ years software engineering; healthcare data systems; 2+ years in a high-growth startup; strong system integration; ML/AI tooling; data pipelines; backend with Python/SQL; production ML infrastructure.
Python, SQL, Cloud Infrastructure, EHR/EMR integrations, AI tooling
Santa Clara or Austin or Westford or United States or Hillsboro or Durham
$152k-$288k/yrHybridFull Time
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
5+ YOEBS/MS in CS or Engineering (or equivalent), 5+ years software/platform engineering including 3+ years in ML infrastructure or distributed systems, strong coding in Python/C++/Rust, experience with Docker, Kubernetes, GitLab CI, Linux, and AIOps/Agentic AI.
Flagship Pioneering: Conceives, creates, and builds life science platform companies
Senior individual-contributor software engineer experienced owning production ML/AI systems, designing distributed system architecture, deploying data infrastructure, and partnering with scientists and ML researchers.
Mirakl: Provides enterprise marketplace and dropship software solutions.
7+ YOE7+ years in software/ML engineering with expertise in LLMs, RAG, AI Agents, production ML systems, Python/SQL, cloud infrastructure, and leadership on cross-functional initiatives.
WHOOP: Providing wearable health trackers and physiological performance analytics.
2+ YOEBachelor's degree or equivalent,2+ years software engineering experience building ML infrastructure in cloud,experience with Python or Java,knowledge of ML lifecycle and cloud deployment.
WHOOP: Wearable technology for personalized health and performance tracking.
2+ YOE2+ years software engineering experience with ML infrastructure in cloud environments; degree or equivalent; experience with Python or Java; familiarity with ML lifecycle and cloud design patterns; strong collaboration and problem-solving skills.
Hi Marley: SMS-based conversational platform for property and casualty insurance carriers.
6+ YOE6+ years DevOps/SRE/platform engineering; 2+ years AI/ML infrastructure; Bachelor’s in CS/Engineering or equivalent; deep AWS, Terraform, observability, and Python/Go/TypeScript skills.