Data Science & Machine Learning Jobs

Develop and fine-tune CNNs, SSM, and other deep learning models to enhance image processing in pharmaceutical applications.. Optimize LLM and CV frameworks for efficiency and scalability.. Computer Vision, CNNs, SSM, and Generative AI, LLMs, multi-modal AI systems, Linux, Python, AWS & Machine Learning.. Education: MSc or PhD in Data Science, Machine Learning, AI, or a related field.. US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions.

This role requires a deep understanding of AI agentic programming, machine learning algorithms, natural language processing (NLP), computer vision, AWS and GCP cloud technologies, and MLOps practices. Lead the design and implementation of AI/ML solutions on AWS Bedrock and Google Vertex AI, including model selection, training, optimization, and deployment. Demonstrate deep understanding and proficiency in utilizing AWS Bedrock services (e.g., Titan FMs, foundation models) and Google Vertex AI services (e.g., Vertex AI Workbench, pre-trained APIs, custom training, MLOps tools) for various product initiatives. Develop and optimize high-performance machine learning models using Python and relevant libraries (e.g., TensorFlow, PyTorch, spaCy) for predictive analytics and NLP. Utilize AWS services (e.g., EC2, S3, Lambda, SageMaker) and GCP services (e.g., Compute Engine, Cloud Storage, BigQuery, Vertex AI) to build and manage scalable and cost-effective cloud infrastructure for AI/ML workloads.

Hulu. ESPN. ABC. ABC News. Disney Entertainment and ESPN Product & Technology team is looking for a passionate Lead Machine Learning Engineer to drive the security and operation anomaly detection initiatives within the Commerce, Data, and Identity Alliance.. Proficiency in Python, R, SQL, and other relevant programming languages.. Experience with data wrangling tools (e.g., Pandas, NumPy), databases (e.g., MySQL, PostgreSQL), and big data platforms (e.g., Spark, Databricks, Jupyter, Snowflake, Airflow, GitHub).. Broadcast Media Production and Distribution

Project - Building out internal benchmarking reports, pulling from Cloudera, Hadoop.. Pluses: Tableau, data governance, big data. Experience with big data platforms such as Hadoop and Cloudera. Experience with Python (pySpark, pandas) for data engineering. Computer Applications: Tableau (or similar BI Tool), SQL, Hadoop (including Impala, Spark)

Anduril’s Tactical Reconnaissance and Strike Division (TRS) is responsible for design and development of Anduril’s fleet of small warfighting and surveillance drones deployed around the world, including Ghost, Anvil, Altius, and Bolt. We work in close coordination with specialist teams like Perception, Autonomy, and Manufacturing to solve some of the hardest problems facing our customers. Experience with Python development and deep learning frameworks such as PyTorch and TensorFlow.. Experience in one or more of the following:Visual Odometry, SLAM, Multi-view Geometry, Structure from Motion, 3D Geometry, Discriminative Correlation Filters, Stereo, Neural 3D Reconstruction, RGB-D and LIDAR Sensor Fusion.. Family Planning & Parenting Support: Fertility (eg, IVF, preservation), adoption, and gestational carrier coverage with additional benefits and resources to provide support from planning to parenting. Mental Health Resources: We provide free mental health resources 24/7 including therapy, life coaching, and more.

In this role, you will lead end-to-end AI strategy, shape the applied science roadmap, and develop next-generation models in NLP, deep learning, and large-scale AI systems. Drive High-Impact Research – Conduct advanced research in NLP, RL, LLMs, and deep learning, publishing in top-tier conferences while applying findings to real-world production systems. Academic & Industry Recognition: Masters + At least two peer-reviewed publications in deep learning, NLP, or a related AI domain or a PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field. Programming & Frameworks: Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, LangChain, Llama Index). Industry Impact: Publications at top-tier ML/NLP conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, AAAI).

EY delivers unparalleled cross functional tech consulting services in artificial intelligence, autonomous systems and modeling and simulation.. Proficiency in deep learning, machine learning, and data architecture design.. Focused on Business or Economics, Technology Entrepreneurship, Computer Science, Engineering, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning. Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.. Microsoft, Databricks, AWS, NVIDIA or Snowflake Certifications in the Data & AI domain

Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets. Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Familiar with metadata management, data lineage, and principles of data governance. Experience with: AWS, Docker, Airflow, Databricks.

We're actively seeking a talented Sr Data Scientist to join our SMS Data Science Team in Newport Beach, CA or Omaha, NE. This role is hybrid. As a Senior Data Scientist, you'll play a key role in Pacific Life's growth and long-term success by providing model driven insights to business partners. Stay up-to-date with industry trends and advancements in data science and machine learning. Experience with machine learning frameworks and libraries (e.g., TensorFlow, scikit-learn). Learn more about how we create a welcoming work environment through Diversity, Equity, and Inclusion at www.

Depending on their backgrounds and interests, they may engage in market research, experimentation, forecasting, causal measurement, optimization, or data-related automation and data science product development.. Prototyping data pipelines or tools to automate the creation and/or deployment of knowledge gained from statistical models, machine learning models, or artificial intelligence. Using code and technology to build data pipelines or tools to automate the creation and/or deployment of knowledge gained from statistical models, machine learning models, or artificial intelligence. Monitoring the health and deployment of statistical and machine learning models embedded in data science products. Relevant areas include (but are not limited to) statistics, data science, applied mathematics, operations research, engineering, and computer science

We are seeking an exceptional Applied Junior/Mid-level Applied Data Scientist - Computer Vision & Generative AI. Contribute to the fine-tuning of CNNs and other deep learning models for image processing in pharmaceutical applications.. Help optimize LLM and CV frameworks for efficiency and scalability.. Qualifications: BSc or MSc in Data Science, Machine Learning, AI, or a related field.. Dental Insurance: Synectics offers eligible employees and their dependents a dental plan through MetLife.

Join to apply for the Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs role at Amazon Web Services (AWS). At AWS, our vision is to make deep learning pervasive for everyday developers and democratize access to cutting-edge infrastructure.. AWS Neuron is the SDK that optimizes the performance of complex ML models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloads.. Responsibilities include building the next-generation Neuron compiler to transform ML models written in frameworks like PyTorch, TensorFlow, and JAX for deployment on AWS Inferentia and Trainium servers.. Familiarity with ML frameworks like PyTorch, JAX, or tools like LLVM/MLIR.

This leader will be on the ISA leadership team, and will be at the intersection of data, analytics and creative television production and distribution.. The leader will play a pivotal role in scaling the capabilities of the data science expertiseteam inside the larger Insights, Strategy & Analytics team and will unlock value in television production, content distribution & studio financial models.. The successful candidate will have extensive experience in data science methodologies, predictive modeling,machine learning, the latestAI-driven data science innovations, and advanced statistical modeling, with a proven track record of driving business value through data science.. Translate insights into action by delivering models & tools that drive measurable outcomes in key studio production & content distribution areas. Expertisewith data visualization tools such as Tableau or Power BI.

As a Machine Learning Engineer at Loop, you’ll help turn advanced data capabilities into products that make it easier for merchants to run and grow their businesses.. For ML development and deployment, we use AWS ML ecosystem, Airflow, Kubernetes, FastAPI, and other tools.. Our data infrastructure includes Fivetran, dbt, Snowflake, Hex, Secoda, and GoodData.. Proficient in Python and familiar with ML libraries like Scikit-Learn, PyTorch, or TensorFlow.. Knowledge of Docker, Kubernetes, and dbt.

We are seeking an exceptional Senior Applied Data Scientist specializing in computer vision and image-based data to drive innovation within our pharmaceutical R&D division.. Develop and fine-tune CNNs, SSM, and other deep learning models to enhance image processing in pharmaceutical applications.. Optimize LLM and CV frameworks for efficiency and scalability.. MSc or PhD in Data Science, Machine Learning, AI, or a related field.. Experience with multi-modal AI systems integrating text and image processing.

The AWS Neuron Compiler team is actively seeking skilled compiler engineers to join our efforts in developing a state-of-the-art deep learning compiler stack.. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch, TensorFlow, and JAX. Your role will involve working closely with our custom-built Machine Learning accelerators, including Inferentia/Trainium, which represent the forefront of AWS innovation for advanced ML capabilities, powering solutions like Generative AI.. - 2+ years of experience developing compiler optimization, graph-theory, hardware bring-up, FPGA placement and routing algorithms, or hardware resource management. - Experience is TensorFlow, PyTorch, and/or JAX. - Experience in LLM, Vision or other deep-learning models

Partner with growth teams to establish learning agendas, develop omni-channel marketing strategies and design advanced analytics methods (Machine Learning etc.). Leverage analytic tools (e.g. Google Analytics, Adobe Analytics) to measure attribution and monitor performance trends, be an advocate of robust attribution of program performance impact to different touch points and experiences. 5+ years of experience is using tools like SAS, SQL, Tableau or a similar data querying and analysis tools.. Proven hands-on experience utilizing analytical tools such as SAS, SQL, or open-source tools such as R and Python.. Experience with big data tools like Databricks, Hadoop, Spark.

You’ll lead data strategy across marketing and media, blending statistical rigor with storytelling, and working cross-functionally with Moontide’s Media, Business Intelligence, and Growth Insights teams.. What You’ll Be Working On Design and manage analytics frameworks that tie media and marketing performance to business growth across key verticals including aesthetics, health/wellness, and consumer brands.. Contribute to Moontide’s overall growth by embedding data science thinking into media strategy, creative testing, and performance marketing.. R, Looker Studio, and PowerBI are a plus.. Working knowledge of cloud environments , with a strong preference for Microsoft Azure (Data Factory, Synapse, Blob Storage, etc

Wayfair Machine Learning Science powers automation & decision support across all Wayfair business units. Our algorithms tackle a varied & broad spectrum of challenges in the Wayfair marketplace; from empowering suppliers to easily add products to our catalog, to enabling our customers to discover and purchase a vast & diverse assortment of home goods. We are looking for a candidate who would lead the team to build and implement personalized product recommendations, customer understanding, and personalized content targeting strategies using state-of-the-art machine learning and deep learning techniques. High comfort level with programming skills in Python or Java, and experience working with big-data technology such as BigQuery or Spark; ideally familiarity with cloud-based platforms (we use GCP).. About the company Wayfair Inc. is an American e-commerce company that sells furniture and home-goods.

You'll lead data strategy across marketing and media, blending statistical rigor with storytelling, and working cross-functionally with Moontide's Media, Business Intelligence, and Growth Insights teams.. Design and manage analytics frameworks that tie media and marketing performance to business growth across key verticals including aesthetics, health/wellness, and consumer brands.. Contribute to Moontide's overall growth by embedding data science thinking into media strategy, creative testing, and performance marketing.. R, Looker Studio, and PowerBI are a plus.. Working knowledge of cloud environments , with a strong preference for Microsoft Azure (Data Factory, Synapse, Blob Storage, etc