336 machine learning jobs at 164 companies in Randolph, NJ
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Machine Learning Engineer, Wallet Intelligence and Machine Learning
New York City, New York, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Develop on-device machine learning models and analytical solutions to detect and prevent fraud while preserving user privacy; strong ML and system-design skills and collaborative mindset.
AvePointNASDAQ: AVPT: Provides SaaS for cloud data protection and management.
5+ YOE5+ years experience in machine learning/data science/NLP, Bachelor's or Master's in CS/AI or related, proficiency in AI/ML and deep learning, ability to design/deploy scalable ML solutions and lead technical initiatives.
Morgan StanleyNYSE: MS: Provides global investment banking, wealth management, and advisory services.
8+ YOE8+ years in ML/data science, experience building and deploying production ML solutions, strong statistical and deep learning knowledge, proficiency in SQL/Python/R, cloud and versioning tools, leadership and stakeholder communication.
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.
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).
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.
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
Mountain View or Bellevue or Seattle or New York City or California or United States
$166k-$273k/yrHybridFull Time
UnityNYSE: U: Provides software for creating real-time 3D interactive content.
Expertise in machine learning and deep learning for user behavior modeling, proficiency with Python and PyTorch, metric design, large-scale data analysis, and ability to drive end-to-end projects.
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.
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.
D. E. Shaw Research: Developing custom supercomputers for biomolecular simulation and drug discovery.
Strong Python programming skills, experience applying machine learning to scientific problems, track record of innovation; familiarity with deep learning, high-performance computation, numerical algorithms, or related domains preferred.
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.
CVS HealthNYSE: CVS: Provides retail pharmacy, health insurance, and pharmacy benefit management services.
5+ YOE5+ years building ML systems in production, 5+ years Python, familiarity with PyTorch/TensorFlow, MLOps (Kubeflow, Vertex), 2+ years SQL with Snowflake/BigQuery, 2+ years system design leadership, experience in reinforcement learning/causal inference/LLMs, mentoring experience, strong communication.
Fluidstack: Provides high-performance cloud GPU infrastructure for AI development.
Experience shipping ML/LLM features to production, evaluation harnesses, LLM APIs/fine-tuning/retrieval experience, production-quality code, strong communication and problem framing skills.
Shanghai or Hong Kong or Singapore 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, and modern ML frameworks (PyTorch, TensorFlow, JAX); distributed computing and data-pipeline skills; strong communication.
Arlo: AI-powered health insurance platform providing level-funded plans for businesses.
Experience building production ML or data infrastructure at scale; strong Python skills; experience with Spark/Databricks, model training pipelines and low-latency serving; ownership of SLAs, monitoring, and on-call; interest in applied modeling.
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.
Jane Street: Global quantitative trading firm and liquidity provider.
Practical experience on empirical ML problems, strong mathematical/logical thinking, hands-on coding in Python and ML frameworks, familiarity with models (LLMs, image, RL, recommendation), and intellectual curiosity.
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.