Data Science & Machine Learning Jobs

Client Protection Shared Services - Advanced Analytics is looking for a seasoned and energetic data science leader to join our team as a Lead Data Scientist and help us deliver data science products to the production environment especially for scalable graph analytics.. Maintains knowledge of the latest advances in the fields of data science and artificial intelligence to support business analytics. Expertise handling data across its lifecycle in a variety of formats and storage technologies (e.g., structured, semi-structured, unstructured; graph; hadoop; kafka). Understanding of advanced machine learning methodologies including neural networks, ensemble learning like XGB, and other techniques. Artificial Intelligence/Machine Learning

We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. 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).

We have an opportunity available for a Data Scientist to work in the field of cells, genomics and related areas. Strong breadth and expertise in Statistical analysis, machine learning, data visualization, programming (Python, R, etc. Tools: Python, R, SQL, TensorFlow, Scikit-learn, Tableau, Power BI. Senior Scientist I, Data Science: $ 229,000 - $313,950.. Senior Scientist I, Data Science: $ 212,000 - $292,100

Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents. Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team's technical capabilities. Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development. 7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision. Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy.

Spearhead and drive enterprise transformation across AI / ML / DL technologies, AI solution development and deployment, Machine Learning, Deep Learning, data management. Set vision, strategy, and direction for Artificial Intelligence, Machine Learning, and Deep Learning programs, frameworks, platforms, and initiatives. Expert knowledge of deep learning algorithms as well as major ML and chatbot libraries.. Expertise in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, sequential pattern discovery and text mining. 5+ years of experience writing statistically-related code in ‘R’, Python, or Matlab (or equivalent), SAS. with focus on clarity, reproducibility and reusability

We are looking for a curious, impact-driven early career Data Scientist / Machine Learning Engineer to join our AI R&D team. Model research & prototyping – Explore, implement, and benchmark ML/NLP/generative-AI methods (e.g., LLM fine-tuning, retrieval-augmented generation, document understanding). Education: Ph. D. or M.S. in Computer Science, Machine Learning, Data Science, Statistics, Computational Linguistics, or a closely related field.. Proficiency in Python and ML/NLP libraries such as PyTorch, TensorFlow, Hugging Face, spaCy, or similar. Nice-to-have: exposure to cloud platforms (AWS/GCP), experiment-tracking tools (Weights & Biases, MLflow), or containerized deployment (Docker/Kubernetes).

The ideal candidate will be responsible for transforming complex datasets into actionable insights, leveraging advanced statistical techniques, machine learning models, and data visualization tools.. Develop, test, and implement machine learning models for predictive analytics.. Knowledge of machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.. Experience with data visualization tools like Tableau, Power BI, or similar.. Strong understanding of deep learning, natural language processing, and computer vision.

Machine Learning Engineer/Data Scientist. Contrast AI is seeking a highly skilled and innovative Machine Learning Engineer / Data Scientist to join our team.. Hands-on experience with cloud platforms like AWS, GCP, or Azure for deploying machine learning models.. Experience with deep learning, reinforcement learning, or natural language processing.. Join the Contrast team as a Machine Learning Engineer/Data Scientist and leverage your expertise to make a lasting impact in the rapidly evolving world of AI and healthcare.

Conduct research and experimentation to optimize LLMs, NLP models, and multimodal approaches for healthcare tasks.. PhD in Data Science, Computer Science, Machine Learning, Computational Linguistics, or related fields; or Master's degree combined with equivalent relevant industry experience.. 8+ years of experience applying machine learning and AI to real-world problems, with a focus on NLP and LLMs. Proficiency with Python, SQL, and popular data science libraries such as pandas, NumPy, scikit-learn, and PyTorch.. Proven experience with generative AI and NLP methods, including prompt engineering, embeddings/vector databases, retrieval-augmented generation (RAG), LLM evaluation, and fine-tuning techniques.

Machine Learning Engineer (ML Engineer). 4+ years of experience in ML/NLP with a focus on large language models and text data with Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.. Experience with prompt engineering, retrieval-augmented generation (RAG), and vector databases (e.g., Pinecone, FAISS).. Strong programming skills in Python, including popular ML/NLP libraries (e.g., Hugging Face Transformers, PyTorch,. Experience with LLM customization and fine-tuning (e.g., on GPT, LLAMA, Mistral, Mixtral) and Hands-on experience with Ollama or similar tools for local/custom model deployment.

We are looking for engineers who want to work on cutting edge technology, that is the intersection of Semantic knowledge bases, agents, NLP, LLM, ML and software engineering.. Come join us to help create a world class team advancing the AI/NLP/ML/LLM/RL/Knowledge Graph technologies.. Proficiency in Python, PyTorch/TensorFlow, Spark, BigQuery. Passion for Large language models, NLP, and Machine Learning at scale. MTV - [Free] Electric Car Charging Station

Develop and implement advanced machine learning models that map ecosystem properties (land cover, carbon density, biodiversity, etc.). Collaborate with a team of geospatial and remote sensing experts.. Experience with open-source programming languages (i.e., Python, R).. Experience using common machine learning libraries and tools (i.e., TensorFlow, PyTorch, Scikit-Learn).. Knowledge of geospatial analytics and remote sensing is advantageous.

Advanced performance tuning experience with relational databases (MySQL/PostgreSQL) and NoSQL databases (MongoDB/Cassandra). Experience in NLP, machine learning, deep learning, data mining, or pattern recognition. Experience with BERT, LLMs (Large Language Models), or related transformer-based models. Proficient in at least one machine learning framework (TensorFlow/PyTorch/Keras) with production-level implementation experience. Working knowledge of data lake technologies (Delta Lake/Hudi) and cloud data warehouses (Snowflake/Redshift).

The Staff AI Engineer will drive the identification, evaluation, and adoption of rapid iterative and incremental computer vision, machine learning, and deep learning software solutions together with Junior and Principal AI Engineers and our Manufacturing Engineering business partners. Excel in data science and deep learning.. In-depth experience with PyTorch, TensorFlow, and/or Keras.. Experience in Cloud Technologies such as Docker, K8, and more generically on HPC platforms.. Knowledge in Java/C#, Python, SQL, C/C

The Role Intesa SpA, a Kyndryl Company, as part of its growth and positioning path as an accelerator of digital transformation projects, is looking for a Machine Learning Engineering profile to be included in the Technology Organization.. The goal of the artificial intelligence team is to develop cutting-edge products ranging from Computer Vision to NLP applications.. Who You Are Required Technical and Professional Experience Degree in Computer Science, Computer Engineering or related fields; Excellent analytical and problem solving skills; 2+ years of Python programming experience; Good knowledge of machine learning and deep learning algorithms; Team work and research oriented; Good knowledge of the English language (B2 level).. Preferred Technical and Professional Experience Docker and knowledge of microservice architecture; Experience using LLM models and using Langchain; Familiarity with one or more cloud computing platforms (AWS, GCP, Azure); Experience in using SQL and NO-SQL databases; Basic knowledge of the Linux environment.. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations.

We are looking for a Machine Learning Architect with experience in GCP cloud who is passionate about helping customers build AI/ML solutions at scale.. This role includes responsibilities both as a Professional Services Machine Learning Architect and as a hands-on Machine Learning engineer on customer engagements.. Design machine learning solutions and execute machine learning projects end to end from proof-of-concept stage to deployment in production using cloud native technologies and state of the art machine learning models.. Masters with 10+ years of experience or PhD with 6+ years of experience in Machine Learning, Natural Language Processing (NLP) and Deep Learning.. Experience with hugging face, TensorFlow/pytorch, transformer architectures, prompt engineering, agentic systems, LLMs.

Summary: Seeking a Data Engineer/Analyst to develop machine learning models for predictive maintenance in combat vehicles.. Strong background in statistical analysis, data mining, pattern recognition, machine learning, deep learning, classification, and clustering.. Familiarity with data visualization tools such as Tableau, Power BI, or Matplotlib.. Knowledge of machine learning frameworks (e.g., TensorFlow, Keras, PyTorch).. Los Angeles County Fair Chance Ordinance for Employers

Client Protection Shared Services – Advanced Analytics is looking for a seasoned and energetic data science leader to join our team as a Lead Data Scientist and help us deliver data science products to the production environment especially for scalable graph analytics. Maintains knowledge of the latest advances in the fields of data science and artificial intelligence to support business analytics.. Expertise handling data across its lifecycle in a variety of formats and storage technologies (e.g., structured, semi-structured, unstructured; graph; hadoop; kafka).. Understanding of advanced machine learning methodologies including neural networks, ensemble learning like XGB, and other techniques.. Artificial Intelligence/Machine Learning

Morgan, Lewis & Bockius LLP, one of the world’s leading global law firms with offices in strategic hubs of commerce, law, and government across North America, Asia, Europe, and the Middle East, is seeking an AI Architect to design, develop, and optimize AI solutions that enhance the firm’s legal services and internal operations.. AI Systems Design: Architect scalable, secure, and high-performance AI solutions tailored to the firm’s needs, including machine learning models, natural language processing tools, and automation systems.. AI Tool Integration: Identify, implement, and integrate third-party AI tools and platforms that can enhance legal operations, improve client services, and streamline internal workflows.. Technical Expertise: Proficiency in AI technologies, including machine learning frameworks (e.g., TensorFlow, PyTorch), natural language processing (NLP), computer vision, and automation tools.. Data Management: Expertise in data management, data engineering, and data security practices to support AI initiatives, including experience with big data platforms and technologies (e.g., Hadoop, Spark).

As a key leader of Anthropic's data strategy, your team's work will shape key decisions, directly accelerate our progress, and contribute to Anthropic's mission of ensuring that artificial intelligence has a positive impact on humanity.. Experience with SQL, Python, R, and data visualization tools for large-scale analysis. Machine learning, NLP, or experience working with AI and large language models. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.. Senior Engineering Manager - Machine Learning Director, Scientific Content Engineering/Data Science, QDI Manager, Software Engineering, Machine Learning Infrastructure, Search Retrieval Manager II, Machine Learning Engineering, Monetization Manager, Operations Insights & Analytics Manager II, Machine Learning - Ads Retrieval Manager II, Machine Learning Engineering - Search Ranking & Blending We’re unlocking community knowledge in a new way.