Data Science & Machine Learning Jobs

As a Trust and Safety Machine Learning Engineer, you will work to train models which detect harmful behaviors and help ensure user well-being.. Have 4+ years of experience in a research/ML engineering or an applied research scientist position, preferably with a focus on trust and safety.. Machine learning frameworks like Scikit-Learn, TensorFlow, or PyTorch. Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities. Traumatic brain injury

Founded in 2016, we are a fully funded startup building the world's largest sports network offering live streaming and on-demand sporting events available via subscription based services.. Experience with machine learning frameworks such as TensorFlow, Keras, and OpenCV. MS/PhD with a thesis in the fields of Computer Vision / Deep Learning. Experience with LLM Models for Video understanding. Experience with deep temporal models (LSTM, GRU)

Prototype and iterate challenging architectures in NLP, such as Dual-Encoders, Retrieval-Based Ranking Engines, Generative Models, etc. Practical experience in libraries like TensorFlow, PyTorch, scikit-learn, NumPy, or equivalent. Employee Wellness and Wellbeing is a top priority at Augment. And an unlimited vacation policy keeps everyone fresh. We also get together occasionally for video game nights, happy hours, movies, bowling, ping pong, and our favorite all-you-can-eat Brazilian restaurant.

You are an expertly skilled leader in the Data and Analytics industry with a variety of experience in data architectures, patterns, and methodologies focused on Analytics Strategy, Data Governance & Master Data Management, Data Architecture(s), Big Data & Internet of Things, Data Visualization and Analytics and AI. You should be passionate about research, prototyping and staying current on emerging technologies through continued education and significant community participation. 10+ years of experience in Data Strategy, Data Architecture & Engineering Patterns, Data Science & ML Methodologies, and/or Analytics/BI Program Management (SQL, Python, R, Java, C#).. 5+ years of experience working with emerging Data & Analytics technologies (Hadoop, Spark, Kafka, Azure Data Lake, etc. Experience with analytics platforms (Tableau, Microsoft, Domo, IBM, etc. Familiarity with some or all the following disciplines: AI, Machine Learning, Statistical Analysis, Predictive Modeling, Bayes Theorem

The rapid evolution of Machine Learning (ML) and Artificial Intelligence (AI) is transforming our understanding of distributed computing and data management systems.. The O’Donnell Data Science and Research Computing Institute (ODSRCI) at Southern Methodist University (SMU) invites applications for a Postdoctoral Fellow to conduct innovative research at the intersection of Artificial Intelligence (AI), Machine Learning (ML), and network benchmarking.. Postdoctoral Fellows are part of an inclusive and intellectually vibrant community of internationally recognized scholars across the humanities, social sciences, mathematical sciences, engineering, and business.. We offer the rare confluence of a comprehensive global research institution and a close-knit intellectual enterprise in the liberal arts tradition.. Explore the O’Donnell Data Science and Research Computing Institute at , the AT&T Center of Virtualization at , and SMU at

We are on a mission to bridge the gap between enterprise business knowledge and data, democratizing data discovery and curation to prepare organizations for the era of generative AI. Today's data tools are overly complex, poorly integrated, and siloed, forcing AI Practitioners and data scientists alike to spend more time wrestling with tools, relying on tribal knowledge, and navigating data lakes rather than doing meaningful data science work. Founding Machine Learning Engineer.. 8+ years of experience in software engineering, with a strong focus on Machine Learning, NLP, and Information Retrieval. Proficiency in Python, PyTorch, TensorFlow, and familiarity with distributed training and model optimization techniques. Experience working with enterprise-scale LLM applications, knowledge retrieval, and AI-powered data governance.

Experience with Deep Learning and associated tools, such as TensorFlow and GPUs.. Experience in cloud-based data warehouses (Snowflake, Google BigQuery, Amazon Redshift, Azure Synapse Analytics).. Knowledge of natural language processing and transformer-based machine learning techniques (e.g., BERT).. Demonstrated knowledge of operating systems (macOS, Microsoft Windows, Linux, Solaris and/or UNIX).. Certifications in data science or analytics (CAP, AWS Machine Learning) and/or cloud solutions such as AWS, Snowflake, Matillion will help evidence applicant knowledge of core solutions used across Quest’s enterprise data ecosystem.

This is an ideal role for someone who thrives in a dynamic environment and has a consistent track record of contributing to the product strategy and roadmap for a complex machine learning problem space.. Collaborate with external, well-known academic and industry researchers in Machine Learning, AI, computer vision, and natural processing (NLP).. Experience with machine learning frameworks like Tensorflow, Pytorch, etc.. Familiarity with Nvidia Triton Inference Server. At Technergetics, we work with a wide variety of technologies, including mobile and web apps, Quantum computing, machine learning and artificial intelligence, AI-enabled edge devices, and many more.

Summary TRABUS seeks a highly motivated Machine Learning Engineer to join our dynamic team. The role involves leveraging machine learning algorithms and software engineering to contribute to diverse AI projects related to resource planning for ship maintenance, marine transportation, and climate/environmental informatics. Collaborate with the Data Science team to deliver scalable AI solutions involving LLMs, RAG, prompt engineering, computer vision, and NLP tools. Completed coursework in Machine Learning, Deep Learning, Algorithm Design, and Data Science. Excellent Python coding skills, ability to handle large datasets, and familiarity with web frameworks like Django and Flask.

We are looking for people with proven expertise in machine learning and/or robotics, who are passionate about pushing the boundaries of what is possible.. PhD degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.. Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.. Publications at top-tier ML, robotics, or CV conferences (e.g., NeurIPS, ICML, ICLR, CoRL, RSS, ICRA, CVPR, ECCV, ICCV).. Deep technical knowledge, and research experience in deep learning, reinforcement learning, robotics, or computer vision.

The rapid evolution of Machine Learning (ML) and Artificial Intelligence (AI) is transforming our understanding of distributed computing and data management systems.. The O’Donnell Data Science and Research Computing Institute (ODSRCI) at Southern Methodist University (SMU) invites applications for a Postdoctoral Fellow to conduct innovative research at the intersection of Artificial Intelligence (AI), Machine Learning (ML), and network benchmarking.. Postdoctoral Fellows are part of an inclusive and intellectually vibrant community of internationally recognized scholars across the humanities, social sciences, mathematical sciences, engineering, and business.. We offer the rare confluence of a comprehensive global research institution and a close-knit intellectual enterprise in the liberal arts tradition.. Explore the O’Donnell Data Science and Research Computing Institute at the AT&T Center of Virtualization at and SMU at

The rapid evolution of Machine Learning (ML) and Artificial Intelligence (AI) is transforming our understanding of distributed computing and data management systems. The O’Donnell Data Science and Research Computing Institute (ODSRCI) at Southern Methodist University (SMU) invites applications for a Postdoctoral Fellow to conduct innovative research at the intersection of Artificial Intelligence (AI), Machine Learning (ML), and network benchmarking. Postdoctoral Fellows are part of an inclusive and intellectually vibrant community of internationally recognized scholars across the humanities, social sciences, mathematical sciences, engineering, and business. We offer the rare confluence of a comprehensive global research institution and a close-knit intellectual enterprise in the liberal arts tradition. Explore the O’Donnell Data Science and Research Computing Institute at the AT&T Center of Virtualization at and SMU at

Practical data science experience with a deep technical background in supervised and unsupervised machine learning methods.. Knowledge of machine learning concepts: loss functions, regularization, feature selection, regression/classification, cross-validation, bagging, kernel methods, sampling, and probability distributions.. A Master’s degree or equivalent experience in Data Science, Computer Science, Electrical Engineering, Mathematics, Machine Learning/AI or related fields or equivalent work experience.. Have a solid understanding of Big Data platforms using the Snowflake and AWS ecosystems a plus.. Now, we help consumers find their best in personal loans, auto loans, business loans, student loans, credit cards, savings accounts, home equity loans and more.

In addition to collaborating with Data Science Management to establish strategic priorities, you will work closely with Data & Engineering to deliver code that is robust and ready to scale.. The ideal candidate for this role will have strong coding skills (preferably in Python, PySpark), strong knowledge about ML algorithms and NLP techniques, a passion for creating technology to improve the healthcare systems, and an attitude of creativity and continual learning.. 5+ years' of industry experience related to Data Mining, Statistical Analysis, ML Algorithms, Gen-AI and NLP Techniques. Strong understanding of NLP techniques such as information extraction, sentiment analysis, text summarization, and topic modeling. Strong understanding of ML/AI methods such as SVM, Random Forest, XGBoost, Light GBM, Deep Learning (CNN, RNN, LSTM), Reinforcement Learning, Optimization

As we advance our data science and analytics capabilities, we want a Lead Data Scientist to develop experts in modeling complex business problems and discovering business insights using statistical, algorithmic, mining, and visualization techniques.. Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence. Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret). Demonstrated Expertise with at least one Data Science environment (R/RStudio, Python, SAS) and at least one database architecture (SQL, NoSQL). Master's degree and 5+ years of experience related work experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, scripting languages, and packages, experience with big data analysis tools and techniques, and experience building and deploying predictive models, web scraping, and scalable data pipelines

We are in search of a Senior Machine Learning Engineer to be part of our remote team.. Practical experience implementing Data Products using the Apache Spark Ecosystem (Spark SQL, MLlib/SparkML) or alternative technologies. Familiarity with Big Data technologies (e.g., Hadoop, Spark, Kafka, Cassandra, GCP BigQuery, AWS Redshift, Apache Beam, etc.). Experience with automated data pipeline and workflow management tools, i.e., Airflow, Argo Workflow, etc. Practical experience with Databricks MLOps-related tools/technologies like MLFlow, Kubeflow, TensorFlow Extended (TFX)

Role SummaryNuuly is seeking a Machine Learning Engineer to join our team!. Nuuly's state-of-the-art Kafka-based streaming data platform enables real-time data access and offline capabilities, supporting flexible and iterative model development to power personalization, inventory forecasting, and dynamic pricing.. Role ResponsibilitiesAs a Machine Learning Engineer, your primary focus will be building and maintaining ML model training and evaluation pipelines and production services for a new personalization system.. Data or ML orchestration frameworks (KubeFlow, MLflow, Airflow, etc.). Cloud platforms (Google Cloud Platform, Amazon Web Services, Microsoft Azure, etc.)

Expertise in AI/ML technologies (e.g., TensorFlow, PyTorch, Scikit-learn, Keras) and understanding of deep learning and natural language processing (NLP).. Strong understanding of big data platforms such as Hadoop, Apache Spark, and data lakes.. Hands-on experience with cloud platforms (Azure, AWS, or Google Cloud) for building scalable data solutions.. Experience with data visualization tools like Power BI, Tableau, or Looker.. Certifications: Relevant certifications in enterprise architecture, AI, or data science (e.g., TOGAF, Certified Data Management Professional (CDMP), Microsoft Certified: Azure AI Engineer Associate).

· Develop algorithms and conduct analysis using state-of-the-art machine learning/artificial intelligence tools. · Experience in providing solutions for building big data, machine learning, and AI infrastructures and models (i.e. AWS), to including containerization (i.e. Ducker, Kubernetes). · Experience in Spark, Hive, Spark ML, Databricks, Natural Language Processing, Tensor Flow, and Deep Learning tools (i.. e Microsoft Azure and Google Cloud Platform. · CompTIA Security+ certification or equivalent

What you will do:As a Data Science and Machine learning (AI) developer, you will build and deploy solutions to help the Reconciliation process.. Who you are:Hands on expertise on Python, Data Visualization and Analysis Tools like Power BI.Data Science and Machine Learning FrameworksExperience with Big-Data technologies and cloud (Azure, others), SQL, PostGresExperience with SQL, PL/SQL, and SQL script programming.. Why this role is important to usOur technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients.. We're driving the company's digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence, and robotics process. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.