Data Science & Machine Learning Jobs

Join our Pharmaceutical R&D Innovation Team to develop cutting-edge Computer Vision (CV) and Generative AI models that solve real-world challenges in healthcare and aesthetics.. Collaborate with ML engineers to deploy models on AWS cloud infrastructure.. Analyze and preprocess image datasets (e.g., radiology, dermatology) with Python/PyTorch.. Strong Python (PyTorch/TensorFlow, OpenCV, scikit-learn).. Exposure to AWS/GCP, MLOps (Docker, MLflow).

The Company's three core products are Snapchat , a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.. We're looking for a Staff Machine Learning Engineer to join Snap Inc!. Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks.. Experience working with machine learning, ranking infrastructures, and system design.. Zone A (CA, WA, NYC): The base salary range for this position is $222,000-$333,000 annually.

Partner with Clinical Scientists to perform data exploration, statistical summaries, and visualization to support abstracts, manuscripts, and podium presentations. Apply machine learning techniques (e.g., anomaly detection, clustering, predictive modeling) to identify data integrity issues, inconsistencies, and potential outliers across large clinical datasets. PhD in Data Science, Biostatistics, Epidemiology, Bioinformatics, or a related quantitative field. Java, JavaScript, Python, R, SQL, MapReduce, Hadoop, Hive, MySQL, etc. Experience in developing data visualization with Access, Tableau, or Power BI.

Join to apply for the Machine Learning Engineer, Level 5 role at Snap Inc. Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks.. Sign in to set job alerts for Machine Learning Engineer roles. Machine Learning Specialist (flex hybrid).. Software Engineer, Game Support, Game Studio

Develop new advanced signal processing algorithms using digital signal processing, machine learning techniques, deep learning algorithms, optimization, and numerical modeling in MATLAB, Python, or similar software.. At least 3+ years of experience in AI/ML, statistical signal processing, and deep learning techniques, optimization methods, and numerical modeling.. Algorithm development experience using machine learning techniques such as regression, classification, clustering, etc., and deep learning techniques using neural networks, CNN, RNN, etc.. Experience with machine learning libraries and modern frameworks such as TensorFlow, Keras, PyTorch, scikit-learn, etc.. Masimo offers benefits such as Medical, Dental, Vision, Life/AD&D, Disability Insurance, 401(k), Vacation, Sick, Holiday, Paid Maternity Leave, Flexible Spending Accounts, Voluntary Accident, Critical Illness, Hospital, Long-Term Care, Employee Assistance Program, Pet Insurance, on-site Wellness Clinic, Fitness Center, and Cafe. All benefits are subject to eligibility requirements.

Blizzard Entertainment is seeking a Machine Learning Engineer to join the Platform Security Data Science team.. Masters or PhD with a specialization in deep learning, machine learning, artificial intelligence, computer vision, statistics, applied math, algorithm design, or a related field.. Hands-on experience with DBT, Databricks, Big Query, or similar tools.. Best known for iconic video game universes including Warcraft, Overwatch, Diablo, and StarCraft, Blizzard Entertainment, Inc. ( a division of Activision Blizzard, which was acquired by Microsoft (NASDAQ: MSFT), is a premier developer and publisher of entertainment experiences.. Blizzard Entertainment engages tens of millions of players around the world with titles available on PC via Battle.net, Xbox, PlayStation, Nintendo Switch, iOS, and Android.

🚀 Publish, present, and patent high-impact findings in AI and machine learning.. Conduct cutting-edge research in artificial intelligence, including areas such as natural language processing, computer vision, generative models, and reinforcement learning.. Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ACL, CVPR, ICLR) is highly preferred.. Expertise in machine learning, deep learning, or statistical modeling.. Experience with model development using TensorFlow, PyTorch, JAX, or similar frameworks

Seeking a Machine Learning Engineer to maintain, enhance, and productionize an existing predictive model that estimates the average duration of construction jobs.. You’ll work with historical workflow data, improve model accuracy, and explore new ML opportunities once the current model is stable.. Python – strong proficiency for data manipulation & model implementation.. Applied Machine Learning – hands-on experience with regression, classification, or similar predictive modeling techniques.. Work with historical workflow data to refine accuracy and reliability.

Design and maintain fraud rules and scoring logic for transaction monitoring systems. Ensure alignment with regulatory expectations, model risk governance, and internal audit requirements. Explore and implement new technologies (e.g., graph analytics, behavioral biometrics, NLP) for advanced fraud detection. Strong command of Python, R, SQL, and data science libraries (pandas, scikit-learn, TensorFlow, etc.. Exposure to real-time fraud systems (e.g., SAS Fraud Management, Actimize, Falcon, etc.)

5+ years of relevant experience in analytics, data visualization, and data science (e.g., algorithm development, data analysis, NLP, etc.. Demonstrated knowledge of advanced data analytics, data visualization and business intelligence principles, and relevant tools (e.g., R, Python Tableau, PowerBI). Proficiency in advanced data analytics tools and programming languages such as Python, R, SQL, and experience with AI/ML frameworks like TensorFlow, PyTorch, and Scikit-Learn.. Familiarity with DevOps practices for machine learning (MLOps) and tools like Databricks MLFlow.. Execute data science methods using python or similar libraries for Data Cleaning/Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis, Data Visualization while delivering in an Agile environment