Data Science & Machine Learning Jobs

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work.. Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning). End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark). MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.

I developer / Machine Learning Engineer Fulltime Local to Bay Area Preferred s an ML Engineer, you will play a crucial role in the development and implementation of cutting-edge artificial intelligence products and services.. To be successful, you must possess exceptional skills in programming, as well as an understanding of data science and software engineering using ML frameworks for Natural Language Processing (NLP).. Keep abreast of the latest AI models (LLMs and others) and techniques in NLP. Fine-tune, prompt-train, train and retrain open-source AI models on customer data.. Identify the best available open-source AI models, libraries, and approaches to NLP. Run machine learning tests and experiments to update and improve ITSoli's accelerators.. Requirements and skills Proven experience as a Machine Learning Engineer or similar role with NLP. bility to write robust code in Python, Java, and R Familiarity with machine learning frameworks (like Keras or PyTorch), libraries (like scikit-learn) and LLMs. Excellent communication skills.

We are looking for a skilled Data Scientist focused on predictive modeling to join our Actuarial team.. Own data management for the modeling function, including data collection, integration, cleaning, processing and transformation.. An advanced degree in Statistics, Data Science, or a related field; or a bachelor’s degree with 4+ years of predictive modeling experience.. Hands-on modeling experience with large-scale datasets and a deep understanding of predictive modeling, data mining, and other quantitative and research analytics (Generalized Linear Models, Multivariate Analysis, Bayesian Methods, Non-Linear Models, Decision Trees, Parametric estimation, Machine learning techniques, etc. Industry expertise in predictive analytics tools, regression models, and software (preferably Earnix) is required.

Data Scientist - Advertising Supply Forecasting for Apple News Austin, Texas, United States Machine Learning and AI. Continuous learning is part of the job, both as it relates to technical skills and within the content and format of advertising domains (e.g. Apple News, Major League Soccer).. Comfort with cloud technologies such as AWS and Snowflake.. Familiarity with job orchestration frameworks like git, Airflow, CI/CD, Kubernetes, Docker, Jenkins.. Experience and/or interest in deep learning, LLMs, and Natural Language Processing.

We are the experts in Incentive Compensation at Microsoft that are responsible for aligning incentive plans and targets (quotas) to motivate seller behavior and drive the company's strategies. The Machine Learning Data Scientist will collaborate with key stakeholders across Business Operations & Sales Excellence, Finance, Mint Engineering, Finance Data & Experiences (FD&E), Plan Design, analytics and the broader WWIC organization. Leverage knowledge of machine learning solutions (e.g., classification, regression, clustering, forecasting, NLP, image recognition, etc. Develops a strong understanding of the Microsoft toolset in artificial intelligence (AI) and machine learning (ML) (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks). Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field

As the Director of Machine Learning on the Data, Growth & Platforms team focused on Digital Media, you will lead a high-impact, multidisciplinary team of ML/AI engineers and data scientists dedicated to transforming Adobe’s go-to-market (GTM) and revenue strategies through machine learning. Innovation & Business Impact: Apply innovative ML research, including recommender systems, reinforcement learning, predictive modeling, and causal inference—to GTM domains. MS or PhD in Computer Science, Machine Learning, or a related technical field. Deep experience in training and deploying deep learning models using frameworks like TensorFlow and PyTorch. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

The company's portfolio includes many of the world's most respected and influential media properties, including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Conde Nast Traveler/Traveller, Allure, AD, Bon Appetit, and Wired, among others.. Overview: We are seeking a Data Scientist Manager to lead a team of 6 data scientists.. The role involves conducting technical work in machine learning engineering and data science, building and designing ML models to solve business problems, collaborating with product teams, managing cross-functional workstreams, and influencing the DS/MLE roadmap.. Experience in NLP, Deep Learning, Computer Vision. Proficiency with machine learning platforms such as TensorFlow, PyTorch, Spark, and Scikit-learn

You will design intelligent systems that utilize machine learning models, natural language processing (NLP), and reinforcement learning techniques to create agents capable of reasoning, learning, and decision-making in real-time.. ML Model Integration: Train, fine-tune, and optimize deep learning models (using TensorFlow, PyTorch, or Keras) for various agent tasks like perception, planning, and execution.. Machine Learning: Deep understanding of reinforcement learning, deep learning (CNNs, RNNs), NLP, and computer vision techniques.. NLP Frameworks: Expertise in transformer models (e.g., GPT-3/4, BERT, T5), and frameworks such as spaCy, Hugging Face Transformers, AllenNLP, and OpenAI API.. Frameworks: Proficient in deep learning frameworks like TensorFlow, PyTorch, Keras, and OpenAI Gym for reinforcement learning.

AI Research Scientist Job ID: 213809. We are looking for an Artificial Intelligence Innovation Lab that conducts applied AI research to develop frontier innovations for our clients.. The AI Research Scientist will lead high-impact research on complex AI-related problems, contribute to thought leadership, and publish research in top AI journals and conferences.. ● Strong track record of AI research and publications in areas like NLP, Computer Vision, and Reinforcement Learning.. ● Strong problem-solving, analytical, and critical-thinking skills Experience Level associate Work Experience (years) 4 - 8 years Skills reinforcement learning research publications machine learning deep learning problem solving nlp neural networks algorithm design computer vision analytical skills statistical modeling data visualization python data analysis critical thinking artificial intelligence

Machine Learning Model Development: Design, develop, and train machine learning models using a variety of algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.. Perform other duties as business requirements change, looking out for data solutions and technology enabled solution opportunities and make referrals to the appropriate team members in building out payment integrity solutions.. Technical Proficiency: Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch.. Data Visualization: Proficiency in data visualization tools (e.g., Tableau, Power BI) to present complex data insights effectively.. Experience with cloud platforms (e.g., Databricks, Snowflake, Azure AI Studio etc.)

Our hardware massively accelerates certain kinds of probabilistic inference, and residents will help pioneer the science of training models in the thermodynamic paradigm.. Experience with JAX or similar deep learning framework (PyTorch, TensorFlow, or Keras). Familiarity with deep learning theory and literature, including theory of over-parameterization and scaling laws. Experience with infrastructure for deep learning experimentation and training (Slurm, Ray, Kubernetes, Weights & Biases, etc.). Salary and equity compensation will vary with experience

Artificial Intelligence & Machine Learning Positions at State Street Bank and Trust Company. We are hiring for multiple positions focused on artificial intelligence and machine learning.. Working across various technologies including Python, Go, JVM languages, JavaScript, GraphDB, and Kafka.. Applying knowledge of NLP, Big Data/Cloud tech, relational databases, CI/CD, and Agile methodologies.. Applying NLP, Big Data/Cloud, relational databases, CI/CD, and Agile practices.

Artificial Intelligence, AWS, Data Scientist, Docker, EC2, Jenkins, Kubernetes, Lambda, Machine Learning Algorithms, Power BI, Python, S3, Scikit-Learn, SQL, TensorFlow. We are seeking an AWS Cloud Engineer / Data Scientist to join our team.. Automate processes and infrastructure using Infrastructure as Code (IaC) with tools like Terraform or AWS CloudFormation.. Proven experience with AWS services (EC2, S3, Lambda, RDS) and data science tools (Python, R, SQL).. Experience with data visualization platforms (Tableau, Power BI, Matplotlib).

He is the co-founder and CEO of Jovian.ml, a project management and collaboration platform for machine learning.. This is a beginner-friendly course, and no prior knowledge of data science, machine learning or deep learning is assumed.. Training a state-of-the-art model in 5 minutes. Generating fake digits & anime faces with GANs. Aakash N S is the co-founder and CEO of Jovian.

Partnering with the largest digital lenders in India, our team is a vibrant mix of expertise in Fintech Product & Risk Management, Fraud Detection, and Big Data Analytics.. As a Senior NLP/ML Developer, you will design, develop, and optimize AI-driven applications with a strong focus on natural language processing (NLP) and machine learning (ML).. You will work on cutting-edge NLP models for text classification, entity recognition, and sentiment analysis, while also contributing to credit scoring models in the fintech and risk management domains.. Model Research & Development: Collaborate with data scientists and researchers to develop, evaluate, and refine deep learning and transformer-based models (e.g., BERT, GPT) to solve complex business challenges.. NLP & Deep Learning Expertise: Min 2 years of experience in NLP and ML, particularly in text classification, entity recognition, and semantic analysis.

We are using our big data coupled with machine learning and AI to help highlight the path forward.. The Data Scientist has applied expertise in Python, distributed databases, advanced AI/ML modeling, statistical analysis, and data visualization at scale.. Employ predictive modeling, natural language processing and categorization techniques to increase and optimize customer experience and revenue generation.. Professional experience with python, including python data libraries (numpy, pandas, matplotlib, scikit-learn) with proven ability to employ python for data manipulation, large-scale analytics, and ensemble-based ML development.. Extensive knowledge, application, and experience in creating and implementing recommendation systems, machine learning, NLP, statistics, and deep learning.

Develop and deploy machine learning models to forecast future trends, behaviors, and outcomes.. 5 to 10 years in data science, with experience in machine learning and statistical analysis.. Proficiency in Python, R, or Julia.. Experience with Tableau, Power BI, and Python visualization libraries (Matplotlib, Seaborn).. Familiarity with big data and distributed computing frameworks (e.g., Hadoop, Spark) is a plus.

Optimize real-time data processing for halal investment screening and market intelligence.. Build tools to monitor global halal investment trends, stock movements, and macroeconomic indicators.. 10+ years of experience in data engineering, data science, and AI, preferably within fintech or financial services.. Expertise in Python, SQL, machine learning frameworks (TensorFlow, PyTorch, Scikit-learn), and big data technologies (Spark, Hadoop, Snowflake, Redshift).. Strong experience in cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes), and scalable data architecture.

Our Client Company builds chips for artificial intelligence computing.. Understand and analyze the interplay between machine learning accelerator software and hardware.. Masters or PhD in computer science, physics, mathematics, or any related field.. Solid understanding of artificial intelligence, machine learning, and neural networks.. Experience in machine learning and deep learning programming languages and framework, e.g. Tensorflow, PyTorch, Caffe, Keras.

We are looking for an enthusiastic GenAI and LLM Architect to add to Credera’s Data capability group.. Experience with a variety of ML and AI techniques (e.g. multivariate/logistic regression models, cluster analysis, predictive modeling, neural networks, deep learning, pricing models, decision trees, ensemble methods, etc.). Proficiency in programming languages such as Python, TensorFlow, PyTorch, or Hugging Face Transformers for model development and experimentation. Strong understanding of NLP fundamentals, including tokenization, word embeddings, language modeling, sequence labeling, and text generation. Experience with designing and presenting compelling insights using visualization tools (R Shiny, R, Python, Tableau, Power BI, D3.