Data Science & Machine Learning Jobs

Analyzes and models structured data and implements algorithms to support analysis using advanced statistical and mathematical methods from statistics, machine learning, data mining, and predictive modeling. Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud, and Databricks). Experience with Linux and familiar with concepts of HDA, slate, and docker. Level II Data Scientist is highly skilled across multiple Data Science disciplines. Proficiency in data analysis and visualization tools (e.g., Python, SQL, Tableau).

Current and past customers include Apple, Google, Meta, Disney, DreamWorks, Activision, Technicolor, ESPN, LEGO, NASA and many others.. The ideal candidate will have a strong background in computer vision, machine learning, and deep learning, as well as experience working with neural radiance fields.. As a member of our team, your work will be critical in advancing our technology and staying at the forefront of innovation in the field of computer vision and machine learning for AR/VR.. Strong background in computer vision, machine learning, and deep learning. Proficiency in Python and experience with deep learning frameworks such as PyTorch

Responsible for solving business problems by leveraging techniques such as machine learning, segmentation, optimization, and advanced analytics.. Develops models to inform strategic marketing initiatives.. Bachelor’s degree in a quantitative field such as Statistics, Computer Science, Engineering, Data Science, or related fields. Experience in the gaming industry is a plus. Proficiency in SQL and Python, as well as machine learning (e.g. XGBoost, LightGBM, Scikit-Learn) and analytical libraires for analyzing and modeling data

From podcast recommendations to AI Playlists, we’re a part of some of Spotify’s most-loved features.. Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways. You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages.. Experience with XGBoost, TensorFlow is also a plus.. Today, we are the world’s most popular audio streaming subscription service.

In the outskirts of Mexico City, he combined his background of agricultural research and theoretical knowledge with careful experimentation and diligent data collection to run over 6,000 experiments - and he was ultimately successful, kicking off the “Green Revolution” that increased global crop yields by an estimated 44% and earned him a Nobel Prize.. You will develop various skills as a full-stack Data Scientist working on projects end-to-end and build deep domain expertise in the intersection of Data Science and Product.. Use a variety of exploratory, data visualization, and statistical techniques to uncover actionable insights, including A/B testing, cohort analysis, regression modeling, trend analysis, user segmentation, and machine learning.. Have fluency in SQL, and other statistical programming languages (e.g. Python, R, etc. Have experience building scalable data pipelines and ETL processes with DBT and understand different database structures.

Build and train deep learning models (e.g., YOLO, RT-DETR) for object detection and classification. Fuse data from RGB, thermal, LiDAR/ToF, IMU, and encoder sensors for real-time perception. Implement advanced image processing (deconvolution, motion isolation, low-SNR detection). 3–6 years of experience in computer vision, robotics perception, or sensor fusion. Hands-on with TensorFlow, PyTorch, and real-time inference tools like TensorRT or OpenVINO

Ocular Foundry is the most intuitive, data-centric, and fastest platform that lets you label, annotate, version, and deploy your data for training models. With Ocular Bolt , shift from humans in the loop to experts in the loop to supercharge your data labeling and annotation projects. Ocular Is Looking For a Founding Machine Learning Engineer To Work Directly With The Founders To Design And Develop Foundational AI Models For Production. 3+ years experience developing models with Python/Pytorch/OpenCV/PyTorch/TensorFlow. Hands-on experience training AI/LLM’s models for production environments.

Knowledge in protein biochemistry or antibody engineering is a strong plus.. Principal Scientist , Analytical Science LeadPrincipal Scientist, Computational Chemistry. Senior Scientist, Computational ChemistrySr./Principal Scientist, Computational Chemistry. Senior Principal Scientist, Development DMPK. Senior Scientist Translational Gene editing Development with AAV, Gene and Cell Therapeutics Platform Research OrganizationPrincipal Scientist/Director, Bioanalytical ChemistrySenior Scientist, Pharmaceutical Development CMC (CONTRACT)

Lecturer - College of Computing, Data Science, and Society.. Innovations in computing and statistics are converging to create unprecedented opportunities to use data science, machine learning, and artificial intelligence to tackle pressing societal challenges from human health to climate change. CDSS is seeking outstanding instructors to be appointed in the non-Senate Lecturer title series who can teach small and large courses. Examples include: Anthropology of Science, Data, and Technology; Artificial Humanities: AI, Language, and Fiction; and Data and Justice. A Ph. D. or equivalent international degree that is cross-disciplinary with data science in either the social sciences, humanities, education, health, law, natural resources, public policy, computer science, statistics, or engineering, is preferred.

Join to apply for the CoreAI Senior Scientist – Applied Deep Learning role at Keystone AI. Keystone's Core AI team is seeking a Senior Scientist who will help drive the development of our foundation forecasting capabilities—Keystone's flagship product for cutting-edge time series forecasting and intelligent inventory management.. You will leverage your extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch) to produce innovative and industry-leading solutions that optimize supply chain and operational workflows.. Senior Geologist/Environmental Scientist/Senior EngineerSenior Applied Scientist, Special ProjectsSr Simulation Scientist, Amazon Logistics. Senior Associate Scientist, Analytical Development and Support

We are seeking an AI Research Engineer who will drive the development of intelligent models and algorithms to improve firmware security analysis.. You possess a deep understanding of machine learning, deep learning, and natural language processing, and are eager to apply these skills to solve real-world security challenges.. You enjoy engaging directly with cutting-edge customers—from drone and electric vehicle manufacturers to humanoid robot, nuclear reactor, and satellite companies—to understand their challenges and deliver rapid, effective solutions.. or Rust, with a strong background in machine learning frameworks (e.g., TensorFlow, PyTorch).. Proven track record of research in machine learning, deep learning, or natural language processing applied to security or systems analysis.

Gorilla Commerce is seeking a technically proficient Senior Business Intelligence Manager with a strong background in BI, data engineering, and advanced analytics.. As the Senior Business Intelligence Manager, you will architect and manage the company’s data infrastructure, ensuring robust data pipelines, scalable storage solutions, and advanced analytics capabilities.. You will leverage techniques such as machine learning, predictive modeling, and AI to uncover hidden patterns and provide actionable insights.. Translate complex data into actionable insights through interactive dashboards, visual reports, and KPI scorecards using Power BI and Fabric.. 5+ years' proven experience with data modeling, Power BI, and SQL.

It serves as a subject matter expert and executive to drive, develop, contribute to, facilitate, support and ensure alignment on artificial intelligence strategy and governance across all cross-functional areas and supporting operating units within WRBC. This role plays a critical part in contributing to and coordinating efforts to operationalize a vision for artificial intelligence.. Cross-Functional Collaboration: Work closely with various departments including Data & Analytics (DNA), Audit, HR, EPMO (Enterprise Project Management Office), Legal & Compliance, Procurement, BTS (Business Technology Services) & Infrastructure, and Information Security where AI strategy and operational needs intersect.. Work with BTS and DNA to provide workspace and tools necessary to implement strategy.. Collaborate with DNA, Legal & Compliance, BTS for AI model governance and related data governance.. Master’s/Bachelor’s degree in a technical related field such as Artificial Intelligence, Data Science, Machine Learning, Engineering, Computer Science, Mathematics, Statistics, or business related discipline.

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group ( www.. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions.. Conduct research and engineering in core AI and machine learning fields to enable Embodied AI (including computer vision, autonomous planning, open-world learning, and so on) for related AIoT (AI+IoT) business domains of autonomous driving, industrial automation, robotics etc.. Implement research results to solve real-world challenges, ensuring high-quality system integration within Bosch's existing platforms.

We hire and develop subject matter experts in AI with a focus on computer vision, deep learning, semi-supervised and unsupervised learning.. You will drive ideas to products using paradigms such as deep learning, semi supervised learning and dynamic learning.. - Experience with neural deep learning methods and machine learning. - Demonstrated expertise in computer vision and machine learning techniques for robotics systems.. - Extensive experience writing scientific papers, with multiple publications in top machine learning, computer vision or NLP conferences/journals, like CVPR, ICCV, ECCV, PAMI, NeurIPS, ICML, ICLR, JMLR, etc.

The Sr. Director of AI & Data Science is a visionary leader responsible for uncovering and enabling differentiated, high-impact applications of artificial intelligence across the business.. Leads all aspects of ongoing efforts to guide and improve artificial intelligence and data science design & development practices, champions a culture of innovation and continuous improvement within the organization and partners with key team members to drive artificial intelligence literacy and adoption.. Presents and sells artificial intelligence solutions to non-technical audiences to influence strategic related decisions.. Director, AI Data Governance and Permissibility Senior Director, Data Science - Debit Routing Atlanta, GA $177,100.00-$297,500.00 1 week ago. Assistant Program Director - Artificial Intelligence Humanity Initiative Director Product Engineering- Generative Artificial Intelligence Atlanta, GA $170,000.00-$290,000.00 1 week ago

By applying novel Machine Learning (Deep Learning) techniques, we create intelligent automated systems that sense, think, and act in the real world.. Implement modern and traditional machine learning algorithms that drive decision support systems.. Requirements: Requires a Bachelors, Masters or a PhD in Computer Science, Data Science, Software Engineering, Data Engineering, Computer Engineering, Electrical Engineering.. MS and PhD candidates must have completed some graduate work related to machine learning or artificial intelligence.. Experience with web-based GUI development (Flutter or React.

As an Artificial Intelligence (AI)/Generative AI Engineer, you will be part of a fast-paced team that will support data analysis and visualization, process improvements, financial management, and workforce development.. Support the execution of data science methods using Python libraries for Data Cleaning/Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis, Data Visualization.. Support research and analysis into massive quantitative and qualitative datasets, applying advanced machine learning techniques (clustering, forecasting, NLP, graph analytics, and more) to extract actionable intelligence that drives mission-critical decisions.. 10+ years’ experience with building artificial intelligence technologies, NLP.. 10+ years’ experience executing data science methodologies using common programming/scripting languages, such as Python, Java, Scala, and R.

Support the design, development, and integration of machine learning based sensor processing capabilities for a variety of RF system designs and use cases.. Support the design and implementation of advanced AI and machine learning algorithms to enhance sensor perception models, including object detection, classification, and tracking using both supervised and unsupervised methods.. Experience with machine learning, artificial intelligence, and/or computer vision.. Must be eligible to obtain and maintain a U.S. TS clearance.. Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.

Our platform uses predictive modeling to identify and activate high value AI-native health audiences.. We are seeking a Sr Data Scientist to lead design and implementation of disease modeling approaches using rigorous statistical and machine learning techniques.. Design and implement innovative disease models using rigorous statistical and machine learning approaches. Advanced degree (PhD or MS) in Data Science, Computer Science, Statistics, Applied Mathematics, Epidemiology, or related field (or equivalent practical experience). If you are a curious and analytical data scientist eager to work with privacy-first healthcare data, we’d love to hear from you.