Data Science & Machine Learning Jobs

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.

Client is looking for someone who is a Machine Learning Engineer. Industry machine learning experience doesn’t have to be healthcare.. Successfully trained and deployed a population-based or personalized ML/deep learning machine model (image, NLP, video, or audio) into production, with retraining capability.. Hands-on experience in ML learning DevOps and production environments with multiple model incidences or hierarchy of models.. Strong experience with a high-level machine learning framework such as TensorFlow, Caffe, or Torch, and familiarity with others

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

Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. 7 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. Experience working with advanced analytics solutions involving causal inference and predictive modeling. About the job As a Marketing Data Science Manager for the Global YouTube Marketing team, you will be a pivotal leader in driving our marketing strategy through advanced data science methodologies. Partner with cross-functional teams (marketing, data engineering, analytics) to build data models, automate processes, and unlock actionable insights that drive business decisions and results.

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.

Oversee execution of this research using a broad range of analytically rigorous, quantitative and qualitative research tools, methods, and skills. Domain expertise in one or more relevant biology domains (e.g., virology, molecular biology, computational biology, biosecurity, etc ). Proficiency in Python or other popular programming languages and machine learning frameworks ( e.g. PyTorch , TensorFlow). A PhD in Virology, Molecular Biology, Computational Biology, Biology, Biostatistics, Biosecurity, Biodefense, Artificial Intelligence, Computer Science, National Security Policy, Policy Analysis, or similar with at least 3 years of relevant professional experience.. Fully remote work will also be considered.

We are seeking an Associate Principal Data Scientist —a highly experienced and technically deep individual contributor who leads through influence, owns high-impact initiatives, and drives scientific excellence across experimentation and modeling. 14+ years of industry experience (or equivalent post-graduate experience) in data science, experimentation, statistical modeling, and machine learning, including work with large-scale systems. Proficient in Python and SQL; familiarity with big data tools (e.g., Spark, Hive) and cloud computing platforms (e.g., GCP, AWS). Strong systems thinking—able to zoom out and define strategy while also diving deep into code and analysis. Familiarity with modern data orchestration and versioning (e.g., Airflow, dbt, MLflow).

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.

Tech Lead Machine Learning Production Support Tech Lead Machine Learning Production Support Get AI-powered advice on this job and more exclusive features.. We are looking for an experienced Tech Lead to manage the support and enhancement of deployed machine learning solutions.. Hands-on with Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn). Proficient in Databricks, MLOps tools, and CI/CD for ML. Strong in data engineering, pipeline orchestration, and model versioning

Collaborate with the Salesforce team, the CDO (Chief Data Office), and IT data scientists and engineers to enhance AI capabilities. Deep understanding of statistical modeling, machine learning algorithms, and data mining techniques. Proficiency in Python and R, coupled with experience using machine learning libraries and frameworks such as scikit-learn, TensorFlow, and PyTorch. Databricks experience is a plus. Demonstrated data visualization skills using tools such as Tableau or Power BI.

Their mission is to help top-tier brands gain deeper insights and control over video and social media content across platforms like YouTube, Meta, TikTok, Instagram, and Snap. Their proprietary machine learning models and AI-driven frameworks provide enterprise clients with scalable, transparent, and precise content classification solutions.. Leveraging modern architectures-including transformer-based and multimodal models-you'll collaborate with ML, MLOps, and data engineering experts to build layered AI systems that operate at scale.. Collaborating closely with teams responsible for infrastructure (AWS, GCP, Kubernetes), observability (Datadog), and CI/CD (ArgoCD, Terraform, GitHub Actions). Infrastructure & Ops: AWS, GCP, Docker, Kubernetes, Terraform, GitHub Actions, ArgoCD, Datadog. ML Frameworks: Triton Inference Server, Weights & Biases, HuggingFace Transformers, DVC, ONNX, TensorRT, CUDA

Machine Learning Engineer. The Machine Learning Engineer will join the team to automate and scale the validation of device setup workflows across the channel store environments.. Own and iterate on NLP + CV systems that power internal tools and customer-facing technologies. Experience with SoTA CVML, including VLMs, Multi-modal LLMs, Agentic workflows, etcHands-on experience with Vision-Language Models i.e. CLIP, BLIP, Flamingo, etc.. Strong programming in Python, and related machine learning tools i.e. PyTorch, CoreML, etc.

We are seeking a highly skilled Associate Research Scientist to join our team.. Implement AI pipelines and tools using modern machine learning frameworks (e.g., PyTorch, TensorFlow).. Proficient in Python and experience with deep learning libraries (e.g., PyTorch, TensorFlow).. Familiarity with computer graphics fundamentals, geometry processing, or simulation.. Ability to bridge AI model development with practical deployment in 3D visualization, asset creation, and construction coordination.

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.

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.

Job Summary The selected candidate will play a pivotal role in leading a focused research program in Artificial Intelligence (AI) and Mathematics. The primary objective of this program is to harness machine learning tools, with a particular emphasis on reinforcement learning (RL), to tackle complex research-level mathematical problems and to innovate new algorithms for mathematical reasoning. Publish research findings in reputable scientific journals and present at conferences. Extensive experience with machine learning, especially reinforcement learning. Our benefits package includes competitive compensation, health, dental, and vision insurance, retirement savings plans, generous paid time off (vacation, holidays, sick time, parental leave, bereavement, etc.)

Constructs analytic datasets using SQL and Databricks, builds and deploys ML models, and communicates findings through presentations and dashboards. Demonstrated experience in statistical modeling, machine learning, and data mining. Advanced proficiency with SQL, R and Python including packages such as NumPy, Pandas, Sklearn, XGBoost, Deep Learning.. That’s why we offer more than 60,000 single-family homes across the U.S., located in vibrant neighborhoods. Once you’ve moved in, we simplify your day-to-day through online customer solutions and professional maintenance support, so you can enjoy your weekends stress-free.

The Data Science team is pivotal in the delivery of modern agency services. Required Skills Hands-on programming language skills (SQL, Python, R, etc.. Intermediate exposure to machine learning techniques, causal models, etc. Certifications in any of the following: Meta (Blueprint), SQL, Python, R (online). Education and Experience A university degree in mathematics, computer science, statistics, or related field, and 3-5 years of experience in informatics work in academia, advertising, management consulting, marketing, or digital consulting.

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