80 ml scientist jobs at 49 companies in Sanborn, NY
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Data Scientist (ML Engineer)
Toronto, Ontario, Canada
$120k-$140k/yrHybridFull Time
Interpublic GroupNYSE: IPG: Global advertising and marketing services holding.
5+ YOE5+ years experience as data scientist/engineer, production ML, algorithms and large-scale data pipelines, reinforcement learning and optimization knowledge, experience with retail media/digital advertising preferred.
Python, Google Cloud Platform, Cloud Run, Vertex AI, BigQuery ML, Snowpark, sklearn, Pandas, keras, PyTorch, XGBoost, Claude Code
Kitchener-Waterloo or Toronto or San Francisco or New York City or London
$200k-$275k/yrHybridFull Time
Faire: Private wholesale marketplace connecting independent retailers with brands and makers worldwide.
7+ YOE7+ years building large-scale ML systems (3+ years in search/recommendation), strong Python, experience with PyTorch, vector search (Faiss/ScaNN/Pinecone), Triton/GPU deployment, LLMs (BERT/GPT-class), productionizing personalized models, excellent communication.
CitiNYSE: C: Global financial services organization enabling growth and economic progress.
6+ YOE6+ years AI/ML and big data engineering experience in financial services; expert Python/R/SQL; experience with ML lifecycle, MLOps, agentic AI and LLM solutions; strong communication and modeling skills.
CitiNYSE: C: Global financial services organization enabling growth and economic progress.
6+ YOE6+ years AI/ML and big data engineering experience in financial services; expertise in Python/R/SQL, ML algorithms, MLOps, model deployment, and data reconciliation; Bachelor’s or Master’s degree in a related field.
OpendoorNasdaq: OPEN: Public U.S. real estate technology that buys and sells homes for residential sellers and buyers.
Strong Python and production coding, end-to-end ML model development, deep learning (ConvNets/Transformers), MS or PhD in a quantitative field, solid statistics and experimental design, strong communication.
Python, Pyspark, ConvNets, Transformers, Large language models (LLMs), Vision-language models (VLMs)
CitiNYSE: C: Global financial services organization enabling growth and economic progress.
6+ YOE6+ years in AI/ML development and big data engineering; expert Python, R, and SQL; ML, Agentic AI, LLM, MLOps, distributed computing, cloud, and financial data experience; bachelor's or master's degree required.
eBayNASDAQ: EBAY: Global e-commerce leader connecting buyers and sellers worldwide.
Python, AWS, Databricks, machine learning, data structures, algorithms, and web technologies; experience with ML research or productionization, architecture, monitoring, and scalable systems.
Health Research, Inc.: Nonprofit research and grant-administration organization serving New York State public-health programs and cancer research.
2+ YOEMaster's + 2 years (or Bachelor's + 4 years) in ML/Data Science/CS/Statistics, experience applying ML/AI to real-world problems, clinical NLP, EHR data, large language models/transformers, model deployment, and research/grant publication experience preferred.
AI frameworks, machine learning, deep learning, NLP, large language models/transformers, electronic health record data
Sonatype: Private software helping enterprises secure and govern open-source and AI supply chains.
5+ YOE5+ years in applied data science, machine learning, AI engineering, or research; strong Python, ML/GenAI application development, LLM ecosystems, evaluation, Git, and communication skills.
CookUnity: Chef-driven meal delivery platform connecting independent chefs with consumers.
10+ YOE5+ Mgmt10+ years in data science with 5+ years managing teams; proven production ML experience in personalization/recsys, strong experimentation and causal inference skills; hands-on with Python, SQL, scikit-learn, PyTorch, TensorFlow, cloud and MLOps tooling.
Empire Life: Canadian life insurance providing individual and group insurance, investment, and retirement products to Canadians.
2+ YOEMaster's in a quantitative field, 2+ years quantitative experience, strong Python and SQL skills, experience with ML/Generative AI (Azure OpenAI, OpenAI, Google for Generative AI), Snowflake, applied statistics, and experience in insurance/financial services preferred.
Microsoft Azure AI services, Microsoft Azure, Snowflake, OpenAI, Azure OpenAI, Google for Generative AI, Python, SQL
MastercardNYSE: MA: Global payments technology powering digital economies.
Bachelor's in a quantitative field, applied ML and statistics experience, proficiency with Python, SQL, Pandas, familiarity with Spark/Databricks, strong analytical and communication skills.
Ring: Amazon-owned smart-home security serving households and businesses with doorbells, cameras, alarms, and monitoring services.
4+ YOEPhD or Master's +4 years in CS/CE/ML or related; experience building ML/deep learning models for computer vision, programming in Java/C++/Python, strong communication and critical thinking.
Thumbtack: Home services marketplace helping homeowners find and hire local professionals for repairs, maintenance, and improvements.
3+ YOEMaster’s degree or equivalent experience; 3+ years in applied science with ownership of production ML models; strong ML, statistics, and optimization knowledge; experience with distributed systems; Python/SQL proficiency; ability to drive end-to-end projects.
Vanguard: Global investment management firm owned by its client funds.
5+ YOERequires 5+ years in data science, applied ML research, or AI evaluation; Python, LLMs, agentic AI, adversarial AI, statistics, experimental design, and a quantitative bachelor's degree.
Sun LifeTSX: SLF: Global financial services organization specializing in insurance and wealth.
5+ YOE5+ years developing and implementing data science techniques; proficiency in Python, SQL/PySpark, ML, GenAI, prompt engineering, and working with structured/unstructured data; bachelor's degree or equivalent.
B3 Systems: Canadian industrial AI software helping manufacturers integrate plant data, monitor operations, and make faster decisions.
4+ YOE4+ years in data science or machine learning, strong Python and standard ML stack experience, statistics and model evaluation skills, messy-data experience, stakeholder communication, and a relevant degree.
San Francisco or Ottawa or Phoenix or Toronto or Los Angeles or Denver or Salt Lake City or Atlanta or Chicago or Houston or Portland or New York City or Vancouver or San Diego or Washington, D.C. or Sacramento or Jacksonville or Seattle or Mexico City or Austin or Miami or Boston or Dallas
$97k-$184k/yrHybridFull Time
Scribd, Inc.: AI-powered knowledge serving global readers, professionals, and learners through document, presentation, reading, and social book platforms.
3+ YOE3+ years building and deploying ML models at scale, proficiency in Python, SQL/PySpark, Spark/Databricks, experience with NLP, deep learning and generative models, BS/MS in quantitative field.