119 ml infrastructure engineer jobs at 79 companies in Wayne, NJ
🚀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.
Anthelion Capital: AI-powered investment firm specializing in private credit and data science.
3+ YOE3+ years in data engineering or ML infrastructure; Python and SQL; orchestration tools (Prefect/Airflow/Dagster); Docker/Kubernetes; cloud (Azure preferred); model serving; monitoring; strong documentation.
Rebar: AI-powered operating system for construction trade contractors.
3+ YOEBachelor's degree or higher in CS/EE or related field; 3+ years backend infra; expert Python; 2+ years cloud (AWS); design APIs/SDKs; ML workflows.
Arlo: AI-powered health insurance platform providing level-funded plans for businesses.
5+ YOEExperience building scalable data pipelines; proficiency in Spark, Databricks, SQL, PySpark, Python; strong communication; ownership of end-to-end data systems; healthcare/insurance domain preferred.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Design, develop, and build scalable machine learning platform capabilities for advertising; collaborate with engineers and data scientists in an Agile environment; focus on performance and privacy.
Confido: AI financial operations software for consumer packaged goods brands.
5+ YOE5+ years building production ML/ML platform systems, strong Python and cloud infrastructure skills, experience with IaC and CI/CD, productionizing models and agentic workloads, and ownership of reliability/observability.
San Francisco or New York or Los Angeles or Seattle
$200k-$345k/yrHybridFull Time
Whatnot: Social marketplace for buying and selling via live streams
4+ YOE4+ years building ML systems,3+ years software engineering,1+ year Python,experience with databases,monitoring,cloud services and production ML deployments.
Sesame: Designing wearable computers with lifelike voice-driven AI agents.
3+ YOEStrong systems thinker with reliability engineering experience; 3+ years in infrastructure, platform, or ML systems; Kubernetes production experience; strong communication.
MetaNASDAQ: META: Develops social networking platforms and virtual reality technologies.
8+ YOEBachelor's or equivalent, 8+ years in systems engineering/ML infrastructure, experience with distributed ML training/inference, PyTorch/JAX/TensorFlow, low-level C++/CUDA optimizations, and leading cross-functional ML systems projects.
Mirage: AI platform for automated video creation and professional editing.
5+ YOE5+ years experience building ML/agentic systems, expertise in context engineering (RAG, token optimization), evaluation systems, and production-quality agent infrastructure.
Grow Therapy: Platform connecting mental health providers with patients and insurance.
Proven experience designing and building real-time ML systems and infrastructure (feature stores, real-time serving, deployment safety, monitoring). Strong backend engineering, Terraform experience, technical leadership, and cross-team partnership.
Senior Applied ML Research Engineer, Agentic Security
San Francisco or New York City or Amsterdam or Paris or London
RemoteFull Time
Dynamo AI: A building enterprise-grade tools for trustworthy generative AI with real-time guardrails, red-teaming, and observability.
Research and engineering experience in ML/CS; experience fine-tuning and evaluating models, writing production code, and building evaluation/monitoring infrastructure. MS or PhD in CS/ML or equivalent research experience preferred.
Sr Lead Software Engineer - AWS - Lead AI/ML Platform Engineer
Jersey City, New Jersey, United States
$171k-$260k/yrOnsiteFull Time
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
5+ YOE5+ years software engineering experience, deep AWS and cloud infrastructure knowledge, production platform and architecture experience, strong client communication, and experience with responsible AI and AI-assisted development.
System: AI-powered platform to relate and visualize complex scientific literature.
4+ YOE4+ years in data or ML engineering, strong Python and SQL, experience with Spark/dbt/Airflow, cloud data infrastructure (AWS/GCP/Azure), ML lifecycle and systems design; Bachelor's/Master's in CS/Engineering preferred.
Ideogram: Generative AI platform for professional graphic design and typography.
2+ YOE2+ years building large-scale distributed systems, strong fundamentals in data structures, algorithms, databases, and large-scale data processing; experience with Python, Kubernetes, GCP, and related data infra is helpful.
Python, Kubernetes, GCP, Google Bigtable, Google BigQuery, Google Spanner, Google Pub/Sub, Docker, Terraform, TPU infrastructure
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.
New York City or Toronto or United States or Canada
$195k-$245k/yrRemoteFull Time, Contract
FutureFit AI: Provides AI-powered career navigation and workforce development software solutions.
Senior MLOps/data engineering experience with strong systems design, hands-on implementation of production data pipelines and ML workflows, fluency with modern data/ML stack and cloud infrastructure (SQL, Python, Airflow, dbt, AWS).