119 machine learning data engineer jobs at 81 companies in Passaic, NJ
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Artificial Intelligence/Machine Learning Data Engineer
Charlotte or Morristown or Jersey City or Cleveland or California or Colorado or District of Columbia or Illinois or Maryland or Massachusetts or Minnesota or New York or New Jersey or Washington
$44-$54/hrHybridFull Time
AccentureNYSE: ACN: Global provider of management consulting and technology services.
5+ YOEMinimum 5 years in data/ML/AI or software engineering; strong Python and SQL; experience with LLMs, agent frameworks (LangChain, Semantic Kernel, LlamaIndex, AutoGen), ML deployment and data pipelines; Associate's degree required.
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
10+ YOEHands-on ML engineer with expertise in model development, MLOps, deployment, feature engineering, and scalable ML pipelines; strong Python, cloud, and data engineering skills.
EntravisionNYSE: EVC: Operates Spanish-language media stations and provides digital advertising solutions.
2+ YOE2+ years data science experience; strong coding in Python, Scala, Java; production algorithm development; SQL and data warehousing; Bitbucket/Git; deep learning, statistical methods, problem solving, communication, and mentoring skills.
Python, Scala, Java, Bitbucket, Git, SQL, data warehousing
The Walt Disney CompanyNYSE: DIS: Produces media content and operates global theme parks.
7+ YOEBachelor's in CS or related (or equivalent experience), 7+ years software engineering, 5+ years deploying ML systems, expertise in deep learning and feature engineering, cloud (AWS) and big data tech, leadership and observability experience.
Graham Capital Management: Manages alternative investment funds using quantitative and discretionary macro strategies.
3+ YOE3+ years in ML/statistics on large unstructured data; degree in CS/Engineering/Operations Research; strong Python/C++ and data-processing skills; able to communicate findings and deploy models in containerized environments; experience with time series and cross-team collaboration.
Root Access: AI-native developer tools for embedded and hardware engineers.
4+ YOEMaster's or Ph.D. in a quantitative field,4+ years deep learning with PyTorch or JAX,SciML experience with PINNs/FNOs,strong PDE and numerical optimization knowledge,Python data pipeline experience.
Colgate-PalmoliveNYSE: CL: Manufactures and sells oral, personal, home, and pet care.
3+ YOEBachelor's degree in a high-rigor field, 3–6+ years technical ML/engineering experience (depending on degree), expertise in Python/SQL, Airflow, dbt, CI/CD, Docker/Kubernetes, and strong statistical modeling skills.
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
7+ YOEBachelor’s in CS or related (or equivalent experience), 7+ years software engineering, 5+ years deploying ML systems, expertise in deep learning/statistics, experience with Spark, Databricks, AWS services, Kafka/Kinesis, Datadog, REST, and leadership/mentoring skills.
Singapore or Shanghai or Hong Kong or New York City
HybridFull Time
Tower Research Capital: Global quantitative trading firm developing automated algorithmic strategies.
2+ YOE2+ years building large-scale distributed systems; strong Python; experience with Linux HPC or cloud, GPU workloads, PyTorch/TensorFlow/JAX; distributed computing and data pipeline optimization; strong debugging and collaboration skills.
WireScreen: Maps and analyzes Chinese corporate networks and supply chain risks.
4+ YOE4+ years on clustering/ML problems, end-to-end production ML experience, strong Python and SQL skills, experience with entity resolution/knowledge graphs preferred, model evaluation and large-scale data processing experience.
CLEARNYSE: YOU: Secure biometric identity platform for travel and venue access
3+ YOE3+ years building and scaling ML models, experience with data pipelines, feature engineering, model deployment and monitoring; strong Python and communication skills.
Senior Vice President, AI / Machine Learning Data Engineer
Jersey City or New York
$126k-$210k/yrOnsiteFull Time
BNYNYSE: BK: Global institution managing and servicing financial assets worldwide.
9+ YOE9–11 years in software and data engineering; Spark/Databricks, Kafka, SQL; Airflow/dbt; cloud/lakehouse architectures; data modeling and governance; leadership.
Mercor: Connecting expert human intelligence with frontier AI model development.
Experience shipping ML systems; expertise in ranking, recommendation, search, or matching; comfortable across applied ML stack (data, features, training, inference); strong engineering fundamentals and product impact focus.
RokuNASDAQ: ROKU: Operates a TV streaming platform and sells streaming hardware.
10+ YOE10+ years applying machine learning and optimization to production systems; deep statistics/ML expertise; production ML lifecycle experience (feature engineering, model serving, monitoring); strong software skills in Python, SQL, Java/Scala; excellent communication.
VideaHealth: AI-powered diagnostic software for dental imaging and practice management.
4+ YOE4+ years building and deploying production ML systems, deep expertise in an ML engineering area, strong Python development with testing and CI/CD, familiarity with clinical/EHR data, monitoring and model reliability, and strong communication.
Jane Street: Global quantitative trading firm and liquidity provider.
Undergraduate or PhD student with practical ML model training or ML library experience, strong programming ability, intellectual curiosity, and collaborative mindset.
Vancouver or Burnaby or Toronto or Calgary or Canada or Dublin or London or New York City or Sydney
$129k-$175k/yrHybridFull Time
Clio: Cloud-based legal practice management software and AI solutions.
Experience building ML, NLP and transformer-based models; data preprocessing for unstructured datasets; experience with LLMs and agentic frameworks; strong communication and rapid learning ability.
C the Signs: AI-powered clinical decision support platform for early cancer detection.
5+ YOE5+ years in ML engineering with Python, ML libraries; experience with LLMs, distributed training; healthcare data a plus; US work authorization required.
Casap: A building AI-native disputes automation and fraud prevention platform.
3+ YOE3+ years designing and deploying ML models in production; strong ML algorithms and data analysis; building ML infra; Python/R and ML frameworks (TensorFlow, PyTorch, scikit-learn).