123 applied ml engineer jobs at 75 companies in Cresskill, NJ
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Director Applied AI / ML Engineer
Jersey City, New Jersey, United States
$126k-$255k/yrOnsiteFull Time
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
Pivotal Health: AI platform automating healthcare insurance claim disputes for providers.
5+ YOE5+ years building production AI/ML systems, experience with LLMs and deployment, strong Python and backend engineering skills, experiment design, monitoring, and US work authorization without sponsorship.
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.
Alliance: An accelerator and investor that supports crypto and AI founders and startups.
Senior ML engineer with strong Python and applied ML experience, able to build production systems, work with LLMs, and collaborate with stakeholders; must be NYC-based or willing to relocate.
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.
Santé: Provides an operating system and AI tools that run local retail stores.
5+ YOE5+ years building and shipping production AI products; strong software engineering with TypeScript and/or Python; full ML/LLM lifecycle experience; experiment design, evaluation, and monitoring; strong collaboration and communication.
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.
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.
2+ YOE2+ years applied ML or AI research with productionized models, strong ML foundations, experience taking research to production, proficiency in Python, partnership with engineering, and strong communication.
Amigo: AI infrastructure for building and training clinical healthcare agents.
Experienced with LLMs and agent systems, production AI/ML deployments, technical architecture, customer-facing delivery, strong judgment and leadership; must be able to work on site in NYC or San Francisco.
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.
Scale AI: Provides data and infrastructure for training artificial intelligence models.
4+ YOE4+ years in software engineering, ML, or applied AI; strong Python; experience building production AI systems with LLMs; experience with OpenAI/Claude/MCP/agent frameworks and quantitative evaluation; excellent communication.
R1 RCMNASDAQ: RCM: Provides revenue cycle management and technology solutions for healthcare.
4+ YOE4+ years applied ML/AI or software engineering experience, strong Python proficiency, experience with LLMs/agents, evaluation and production ML systems, and domain knowledge of healthcare workflows.
Monstro: AI platform for governed financial intelligence and wealth management
5+ YOE5+ years engineering experience with AI/ML systems, Python and FastAPI expertise, distributed systems and relational data modeling, full-stack (React/TypeScript) ability, and experience building auditable AI in regulated industries.
San Francisco or New York City or Toronto or United Kingdom
HybridFull Time
Valence: An AI-native coaching platform building personalized leadership coaching for enterprise organizations.
8+ YOE8+ years software engineering experience in AI/ML or data-intensive systems; strong ML/NLP knowledge, proficiency with NumPy, scikit-learn, Pandas, PySpark, SQL, cloud (AWS/GCP/Azure), Docker/Kubernetes, and strong communication and engineering skills.