Data Science & Machine Learning Jobs

Experience working with LLM technologies, including developing generative and embedding techniques, modern model architectures, retrieval-augmented generation (RAG), fine tuning / pre-training LLM (including parameter efficient fine-tuning), and evaluation benchmarks.. Ability to write clean, expressive code in Python, use of open source frameworks such as TensorFlow, PyTorch, scikit learn) and or other tools including PySpark, Scala etc. Experience with SQL and reading from relational databases, experienced using cloud computing ecosystems (e.g., AWS, GCP).. Experience with the practical application of computational statistics and complex ML algos including deep learning, GraphDB SVMs, time series forecasting etc. Fundamental understanding of the mathematical workings of standard feature engineering, dimension reduction, machine learning algorithms and model validation & measurement

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.

Design & Implement Machine Learning capabilities that improve Autodesk’s eCommerce & Customer platforms, especially the Commerce & Support Assistant (agentic chatbot).. Demonstrable experience with applying Machine Learning, including both Deep Learning (PyTorch) and Classical ML (Scikit-Learn).. SQL and experience with big data technology such as Hive, Presto, Glue, (Py)Spark, or Athena.. Proficiency with the Python Data Science stack, e.g. Pandas, etc.. Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies.

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 Im pact: 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.. Technical Expertise : 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 CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.. As a Machine Learning Scientist - Natural Language Processing (NLP) - Senior Associate in the Chief Data & Analytics Office (CDAO) at JPMorgan Chase, you will have the unique opportunity to apply sophisticated machine learning methods to complex tasks.. If you have solid expertise in Deep Learning with hands-on implementation experience, strong analytical thinking, and a deep desire to learn, we would love to hear from you.. PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with at least 3 years of industry or research experience in the field.. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

In this role you will lead the vision and strategy for the effective use of Artificial Intelligence and Machine Learning technologies to drive organizational growth, innovation, and competitive advantage.. Bachelor's in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or equivalent experience. Experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, or Keras.. Knowledge of natural language processing (NLP) and computer vision techniques.. Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more

3501 Olympus BoulevardDallas, Texas 75019. Stay at the forefront of the latest developments in data science, machine learning, and AI, integrating cutting-edge techniques and technologies into our solutions.. Deep expertise in machine learning libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch).. Proficiency with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP).. Lifespace Communities headquartered in West Des Moines, Iowa and Dallas, Texas, is one of the nation's largest Senior Living providers of non-profit retirement communities.

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

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).

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.

Are you excited about working on large-scale Generative AI, Natural Language Processing (NLP), and Deep Learning?. Candidates have a strong background in one or more fields: Natural Language Processing, Large Language Modeling, Computer Vision, Reinforcement Learning, or Machine Learning in general. Ph. D./Master's degree in computer science, artificial intelligence, machine learning, or a related technical field. Experience with one or more deep learning libraries and platforms (e.g., TensorFlow, Jax, or PyTorch). Large Language Models (LLMs), LLM evaluation and benchmarking, multilingual LLMs, LLMs as foundation of agents

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

Sr. Data Science (Python and SQL) Location: Remote Full TimeWe are looking for a highly motivated and experienced Senior Data Scientist to join our growing Ads Data Science team.. As a Senior Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve the adoption and performance of our advertising platform through data-driven insights.. You will work closely with product managers, engineers, and other data scientists to identify opportunities, define metrics, and build solutions that drive significant impact.

Lead data-driven research by applying sophisticated statistical, machine learning, and computational methods to analyze complex datasets related to computer and information science.. Apply natural language processing (NLP), computer vision, or other domain-specific algorithms as required by the research.. Contribute to algorithmic advancements in the context of AI, machine learning, and deep learning.. Utilize cloud platforms and big data technologies (e.g., AWS, Azure, Hadoop, Spark) for efficient data processing and model deployment.. Share knowledge of best practices in data science, modeling, and computational techniques within the organization.

We're offering opportunities at Sr. Associate, Vice President, and Executive Director level in New York, Palo Alto, and Seattle, WA. As a Machine Learning Scientist, you'll tackle complex challenges, apply advanced methods to tasks like natural language processing, and work collaboratively with diverse teams.. As a Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning Center of Excellence within the Machine Learning Center of Excellence, you will have the unique opportunity to apply sophisticated machine learning methods to a wide variety of complex tasks.. Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, time-series predictions or recommendation systems. Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods. Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)

One of our companies is currently looking for a Machine Learning Engineer in the United States.. As a Staff-level Machine Learning Engineer, you will work cross-functionally with engineering and data science teams to lead initiatives, scale infrastructure, and influence long-term ML strategy.. Expertise in Python, SQL, Spark, Databricks, and cloud platforms such as AWS. Deep understanding of ML frameworks like TensorFlow, PyTorch, Scikit-learn, and XGBoost. Fully remote work environment

The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.. As a Machine Learning Scientist - Natural Language Processing (NLP) - Senior Associate in the Chief Data & Analytics Office (CDAO) at JPMorgan Chase, you will have the unique opportunity to apply sophisticated machine learning methods to complex tasks.. If you have solid expertise in Deep Learning with hands-on implementation experience, strong analytical thinking, and a deep desire to learn, we would love to hear from you.. PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with at least 3 years of industry or research experience in the field.. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

Are you passionate about automation, optimization, knowledge extraction, and artificial intelligence through the use of Machine Learning, Computer Vision, Optimization, Natural Language Processing, and Recommender systems?. You will be tackling Machine Learning challenges in Supervised, Unsupervised, and Semi-supervised Learning; utilizing modern methods such as deep learning and classical methods from statistical learning theory, detection, estimation.. Kindle Direct Publishing (KDP) and Print On Demand (POD) have empowered a new wave of self-motivated creators, tearing down barriers that once blocked writers from reaching readers.. Great candidates for this position will be experts in the areas of data science, machine learning, computer vision, optimization, NLP, or statistics.. PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.

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.