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.
Staff Research Engineer, Scientific Computing and ML/Physics Infrastructure
Cambridge or London or San Francisco
$224k-$294k/yrOnsiteFull Time
Lila Sciences: Develops an AI platform for autonomous scientific research and discovery.
Strong software engineering in Python, experience with ML/scientific computing, distributed systems, GPU performance, PyTorch/JAX/CUDA, Linux and containers, orchestration systems, and working with research teams.
Physical Superintelligence: Building AI systems to discover new physics at scale.
3+ YOE3+ years building and operating ML training or inference infrastructure; distributed training and model-serving experience; strong software engineering and ML fluency to debug training and inference; cloud and IaC experience preferred.
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.
Boston Consulting Group: Global management consulting firm specializing in business strategy and transformation.
10+ YOEBachelor in CS/Engineering or related; 10+ years software/IT experience; Proven AI-driven application and SaaS implementation; frontend/backend development; cloud and infrastructure-as-code; DevOps and CI/CD experience.
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,proficiency in Python and strong programming skills.
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.
MassMutual: Sells life insurance, retirement plans, and investment services.
5+ YOE5+ years platform/infrastructure/SRE experience, cloud-native Kubernetes expertise, CKA/CKAD or AWS certifications, IaC/GitOps experience, AI/ML infrastructure and platform ownership from design to production.
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: 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.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Research and develop ML algorithms and models for product search, recommendations, personalization, generative AI, and optimize online retail systems and infrastructure.
8+ YOE8+ years relevant experience, Bachelor's or equivalent in Computer Science/Security, deep application/infrastructure/cloud-native security expertise, AI/ML security experience, experience defining security architecture and threat models, proficiency in Python or Go, compliance experience.
12+ YOE5+ MgmtBS in CS/Engineering (MS preferred), 12+ years software engineering experience with platform/infrastructure focus, 5+ years managing managers, experience delivering enterprise-scale platform capabilities and partnering with AI/ML orgs.
AWS, Microsoft, Databricks, LiteLLM, Portkey, Traefik AI Gateway, MCP, Expressway, LLM APIs, CI/CD, FinOps, AI gateway
New York City or United States or Philadelphia or Boston
$199k-$241k/yrHybridFull Time
Veho: Provides AI-powered last-mile delivery services for e-commerce brands.
6+ YOEBachelor's degree plus 6+ years (or Master's plus 4+ years) in ML engineering; experience building ML platforms, training/serving infrastructure, feature stores, orchestration, monitoring, deployment pipelines; experience managing ML Platform/ML Ops teams; hands-on with Ray, Flink, Feast; cloud data tooling (AWS, Redshift, Databricks, Snowflake); s...
Hartford or Washington or Tampa or Atlanta or Boston or Charlotte or Trenton or New York or Philadelphia or Pittsburgh
$185k-$235k/yrOnsiteFull Time
World Wide Technology: Global technology solutions provider and systems integrator.
10+ YOESenior technical pre-sales architect with 10+ years of experience designing AI/ML infrastructure and platforms, hands-on NVIDIA and cloud experience, strong presentation and whiteboarding skills, and a bachelor’s degree in computer science, engineering, or related field.
NVIDIA DGX, NVIDIA HGX, CUDA, NVIDIA AI Enterprise (NVAIE), NeMo, Omniverse, AWS, Microsoft Azure, GCP, Dell, HPE, Cisco, NetApp, Pure Storage, Vast Data, Advanced Technology Center (ATC), MLOps