386 ml systems engineer jobs at 213 companies in Cresskill, NJ
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ML Engineer
New York City, New York, United States
$140k-$300k/yrHybridFull Time
R1 RCM: Revenue cycle management solutions for healthcare providers.
5+ YOEMinimum 5 years software engineering experience with ≥2 years ML experience; experience productionizing ML systems, experiment tracking, benchmarking, and working with healthcare data.
New York City or San Francisco or London or Sydney
$240k-$270k/yrOnsiteFull Time
Sigma Computing: Cloud-native analytics platform featuring a spreadsheet-style interface.
10+ YOEBachelor's in CS/Engineering/Mathematics, 10+ years building and deploying production AI/ML systems, expertise in ML/DL, full ML lifecycle experience, foundation-model adaptation experience.
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.
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.
Software Development Engineer, ML Systems, Annapurna Labs
New York, New York, United States
$158k-$214k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
3+ YOE3+ years software development, 2+ years design/architecture, strong CS fundamentals, experience with ML compilers/GenAI/model optimization, and building production ML tooling.
Linero: An AI-native, venture-backed creating software at the intersection of national security, industrial infrastructure, and enterprise AI.
4+ YOE4+ years in AI/ML engineering with production systems; fine-tuning LLMs for domain-specific tasks; building RAG systems; multi-agent orchestration; private, air-gapped environments; strong software engineering fundamentals.
Triomics: AI agents for oncology EHR data processing and workflows.
2+ YOE2+ years building ML/AI systems in production, strong Python, experience with agentic LLM pipelines, prompt engineering, fine-tuning, RAG, EMR-document extraction evaluation (precision/recall), and willingness to learn oncology clinical documentation.
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
Trunk Tools: AI-powered productivity platform for construction field operations.
7+ YOE7+ years of experience building production ML/AI systems; leadership on complex projects; experience with agentic systems, knowledge graphs, and document processing pipelines; strong Python/Go skills; production systems expertise.
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
7+ YOE7+ years building production-grade data pipelines and distributed data systems; experience with streaming frameworks (Spark, Flink, Beam, Kafka Streams), SQL, cloud data platforms (AWS), Databricks, Snowflake, Airflow; proficiency in Python, Java, or Scala; Bachelor's/Master's in CS or related.
San Francisco or Chicago or Scottsdale or New York
$118k-$203k/yrHybridFull Time
Early Warning Services: Operates payment and risk solutions for the financial industry.
5+ YOEBachelor's in CS/Engineering; 5+ years in Data Science/ML/Ops; Python; AWS; Docker/Kubernetes; MLflow/Kubeflow; real-time model deployment; strong data/compute systems knowledge.
New York City or Raleigh-Durham or Atlanta or Philadelphia or United States
$150k-$300k/yrHybridFull Time
Sciemo: AI-powered business planning platform for consumer brands.
Proven track record launching ML products to production; expertise in ML systems, GenAI, agents, and graph models; production-grade Python and orchestration experience; strong communication and problem-solving.
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.
San Jose or Waltham or San Francisco or Seattle or Los Angeles or New York City or California
$190k-$346k/yrOnsiteFull Time
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
8+ YOEMaster's or PhD in CS/ML/Data Science, 8+ years ML experience, expertise in LLMs, fine-tuning (SFT, RLHF, DPO, PEFT/LoRA), agent system development, evaluation frameworks; proficiency with PyTorch and agentic frameworks; strong communication and problem-solving.
PyTorch, LangChain, LangGraph, MCP, A2A, Agent Development Kit (ADK), Claude Code, Codex, Cursor
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.
Major League Soccer: Professional men's soccer league in the United States and Canada.
8+ YOEExtensive experience in ML engineering, data systems, semantic data modeling, embeddings, retrieval systems, and LLM-based applications; strong Python, SQL; on-prem GPU deployment.
Major League Soccer: Operates the premier professional men's soccer league in North America.
8+ YOEMaster's degree or equivalent experience,8+ years in ML/data systems,expertise in Python and SQL,semantic data modeling,embeddings/vector search,LLM/RAG systems,distributed systems and production deployment.
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.