139 applied ml engineer jobs at 86 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.
Fidelity Investments: Provides investment management, retirement planning, and brokerage services.
Hands-on ML engineering experience building document parsing, embedding pipelines, semantic search, RAG, and production AI systems; familiarity with vector DBs and OCR; ability to collaborate with data engineering and mentor junior engineers. No visa sponsorship.
Pinecone, Weaviate, Milvus, pgvector, Elasticsearch, LangChain, LlamaIndex, Hugging Face
Senior Applied ML Research Engineer, Agentic Security
San Francisco or New York City or Amsterdam or Paris or London
RemoteFull Time
Dynamo AI: Builds trustworthy AI platform providing guardrails, red-teaming, and observability for generative AI systems in regulated industries.
Advanced ML research and engineering experience; MS/PhD in CS/ML or equivalent; model fine-tuning, evals, production-quality code, experiment design, and security mindset preferred.
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
5+ YOEAdvanced degree in CS/ML/Statistics, 5+ years applied AI/ML experience, experience deploying ML to production, experiment design and evaluation, strong software engineering and distributed computing skills, leadership and mentoring experience.
Amazon Web Services (AWS) SageMaker, Amazon Bedrock
Sandstone: AI-native platform for in-house legal departments.
4+ YOE4+ years applied AI/ML or related engineering experience; experience shipping LLM-powered products (retrieval, agents, document understanding); strong software fundamentals, data pipeline and API experience; strong communication and product judgment.
Waterloo or New York City or San Francisco or Toronto or London
$196k-$270k/yrHybridFull Time
Faire: Online wholesale marketplace connecting independent retailers with unique brands.
5+ YOE5+ years building production ML/AI systems, hands-on applied science (data, evaluation, modeling), shipped agentic/LLM features, cross-stack engineering experience, and strong experimental and product judgment.
New York City or Santa Monica or Los Angeles or New York
HybridFull Time
Pivotal Health: AI platform automating healthcare insurance claim disputes for providers.
Experienced applied AI/ML engineer able to design, train, and deploy production models and workflows, run experiments, and own AI-driven product surfaces; must be authorized to work in the U.S. without sponsorship.
5+ YOE5+ years software engineering experience, 3+ years applying ML/AI to production; experience with transformer/foundation models, full-stack engineering, ML evaluation/observability, and regulated-compliance deployments.
LLM orchestration, foundation models, transformer-based architectures
Norbert Health: Develops autonomous robots for contactless medical vital sign monitoring.
4+ YOEBS in CS/Engineering or equivalent; 4+ years shipping ML/AI in production; strong foundation models knowledge; PEFT/LoRA; Python; cloud ML/MLOps; able to work independently.
YieldNest: Liquid restaking protocol for risk-adjusted DeFi yields.
5+ YOE5+ years applied ML/AI with production deployments; M.S. or Ph.D. in CS/ML/Statistics or equivalent; proficiency in Python and PyTorch/TensorFlow/scikit-learn; experience with agentic AI, LLMs, RAG, forecasting, and statistical modeling.
3+ YOEApplied ML experience with hands-on fine-tuning of language models; familiarity with SFT, DPO, RLHF; strong software engineering; 3+ years; customer-facing; self-starter.
Python, PyTorch, GPUs, Data pipelines, Version control
United States or San Francisco or Los Angeles or New York City
$254k-$328k/yrRemoteFull Time
Laurel: AI-powered time tracking platform for professional services firms
7+ YOE7+ years software engineering experience shipping ML/LLM features to production, strong Python/TypeScript skills, production evaluation and retrieval expertise, product ownership, and excellent communication.
Python, TypeScript, Node.js, NestJS, MongoDB, Claude Code, Cursor, Copilot
Celonis: Provides process mining software for business process optimization.
7+ YOE7+ years in AI/ML pre-sales, ROI/TCO business cases, prototyping AI/ML, generative AI, domain knowledge, Python and ML libs, strong presentation, Bachelor’s required, Masters preferred.
Python, LangChain, pandas, pydantic, sklearn, PyTorch, data engineering tools
San Francisco or Chicago or New York City or Seattle or Atlanta or Indianapolis or Austin
$179k-$286k/yrHybridFull Time
SalesforceNYSE: CRM: Sells cloud-based customer relationship management and business software solutions.
Strong skills in Python and Linux, some React; experience with production cloud deployments (AWS or GCP); familiarity with Kubernetes, full-stack debugging, security best practices, and building ML/AI pipelines.
SiemensXETRA: SIE: Manufactures industrial automation, infrastructure, and energy technology systems.
6+ YOE6+ years applied ML/AI or data science with productionized models; strong ML foundations, Python proficiency, experience partnering with engineers, and clear communication.
Boston or Chicago or Dallas or Los Angeles or Minneapolis or New York City or San Francisco or Seattle or Washington, D.C.
$225k-$304k/yrOnsiteFull Time
West Monroe: Business and technology consultancy specializing in digital transformation.
7+ YOE7+ years in software/data/ML/AI or architecture with hands-on AI engineering; strong Python plus TypeScript/Java/C# experience; experience with LLMs, RAG, agents, MLOps, and hyperscaler AI platforms; ability to work in US without sponsorship.