Data Science & Machine Learning Jobs

Responsible for the development, enhancement, and production of various predictive and Machine Learning driven models to generate behavioral shopper insights, target audiences, and optimized customer journeys.. Knowledge of machine learning, information retrieval, data mining, statistics, NLP or related field.. Experience managing end-to-end machine learning pipeline from data exploration, feature engineering, model building, performance evaluation, and online testing with big data set.. MUST HAVE minimum 3 years of hands-on experience of SQL in Hive/Hadoop/Google Cloud Platform environments.. Practical experience in mining, analyzing and interpreting data through various statistical techniques and predictive models (e.g. Regression, Time Series, Natural Language Processing, Pattern Recognition, Classification, Segmentation, Deep Learning).

We’re seeking a Senior Machine Learning Engineer to join our Data Services and Moderation team within Unity Ads!. You’ll collaborate with teams of data scientists, software developers, and product managers to design, develop, and deploy various deep learning and LLM/RAG solutions, and ensure their integration into our Unity Ads infrastructure. Proficient and strong knowledge in Python, Terraform, cloud platforms (GCP/AWS), Docker, K8, Kafka, Github Actions, serverless, and SQL. Familiar with Numpy, Tensorflow, Pytorch, vector DB, neural networks, computer vision, LLM, RAG and general ML concepts. Proficiency in data manipulation and analysis using tools like SQL, BigQuery, Pandas, and/or Spark, along with experience in data visualization and dashboarding.

Equilibrium Energy is revolutionizing the clean energy transition by developing innovative grid-scale energy storage solutions.. Formulate and apply novel machine learning solutions to the energy domain : Tackle complex deep learning & machine learning problems by researching published academic literature, surveying industry techniques & intuition, and executing hands-on experimental testing & modeling.. Passion for clean energy and fighting climate change. 4+ years experience in data science, research science, machine learning, or similar role, applying and adapting deep learning, graph neural networks, or reinforcement learning techniques to time series regression & forecasting problems. 3+ years experience with python and the supporting computational science tool suite (e.g. numpy, scipy, pandas, scikit-learn, tensorflow, etc.)

Big Data Architect - Hadoop stack - Global IT Integrator Client. Apache Hadoop Cluster Apache Hive Big Data Analytics e-Commerce PayPal eBay Amazon Pig Hive Spark MapReduce Oozie Sqoop Impala Cassandra NoSQL. o 7 - 10 years+ expertise designing, developing and optimizing Big Data solutions using Hadoop stack: Hive, Spark and Pig and related tools.. o Industry experience with: Paypal, eBay, Amazon or related e-Commerce product based companies.. KEY WORDS: Apache Hadoop Cluster Apache Hive Big Data Analytics e-Commerce PayPal eBay Amazon Pig Hive Spark MapReduce Oozie Sqoop Impala Cassandra NoSQL

Optimizing RAG pipelines, agent architectures, and LLM-powered systems. Strong Python skills with frameworks like TensorFlow, PyTorch, or JAX. Experience with big data tools (Apache Spark, Kafka, Hadoop) and MLOps platforms. Familiarity with cloud environments (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes). Technologies You Might Work With: Python, TensorFlow, PyTorch, JAX, Kubernetes, Docker, MLflow, Kubeflow, FastAPI, SQL, NoSQL, Airflow, Spark, Kafka, Hadoop, AWS (SageMaker, Lambda, S3), GCP (Vertex AI, BigQuery), Azure (ML Studio, Synapse).

Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows.. 7+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role. Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow). More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.. Solutions Architect - Digital Native Business Solutions Architect, Conversational AI & Prompt Engineering Senior AI Solutions Engineer (pre-sales) Sunnyvale, CA $180,000.00-$205,000.00 1 week ago

You will be part of a team whose focus is on applied machine learning, on building and deploying models that constantly advance the state-of-the-art.. Strong background in machine learning and deep learning; experience in speech, speaker, and/or language recognition a plus, but not required. Solid foundation in machine learning fundamentals, such as classification, feature engineering, clustering, semi-supervised learning, and domain adaptation. Proficiency in deep learning / machine learning frameworks (e.g., PyTorch, TensorFlow) and scripting languages (e.g., Python, bash), with strong software engineering fundamentals and an interest in optimizing, automating, and scaling end-to-end systems globally (e.g., PySpark, Airflow). Master’s or Ph. D. degree in electrical engineering, computer science, machine learning, language technology, or related fields; outstanding candidates with Bachelor’s degrees and multiple years of significant engineering/product experience will also be considered

At Upscale AI, we are building the industrys first holistic marketing solution that makes it easy for DTC and e-commerce brands to run performance campaigns on Streaming TV - in a way that leverages their best brand, product & social content.. We are seeking a highly skilled Machine Learning Engineer with extensive experience in TensorFlow, PyTorch, Google Colab, reinforcement learning, generative AI, and image and video processing to join our dynamic team.. Strong proficiency in Python and deep learning frameworks such as TensorFlow and PyTorch.. Experience with natural language processing (NLP).. Machine Learning Engineer for Game Technology

AIML - Machine Learning Engineer. The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing!. As part of this group, you will be doing large scale machine learning and deep learning research and development to improve Open Domain Question Answering (using both structured knowledge graph data and unstructured web data) and Summarization as well as developing fundamental building blocks needed for Artificial Intelligence.. Experience working with Deep learning or LLM model development for various NLP tasks and RAG applications including prompt engineering, training data collection and generation, model fine-tuning and model evaluation. Experience working with Python and at least one of the deep learning frameworks such as TensorFlow, PyTorch, or JAX.

Innovaccer is seeking a Staff Engineer specializing in Artificial Intelligence (AI) to lead the design, development, and deployment of advanced AI systems.. Design, build, and optimize machine learning (ML) and deep learning (DL) models, including generative AI frameworks like transformers and GANs.. Expertise in ML/DL frameworks like TensorFlow, PyTorch, or Keras.. Strong foundation in mathematics (linear algebra, calculus, probability) and statistics.. Experience with big data tools (Hadoop, Spark) and cloud platforms (AWS, Azure, Google Cloud).

So what does it take to thrive as a machine learning engineer today?. Machine learning is heavily interdisciplinary, combining advanced statistics, calculus, linear algebra, and probability.. Fluency with OOP principles like inheritance, encapsulation, and polymorphism enables cleaner system design and code reuse.. Experience with tools like Apache Spark, Kafka, and Hadoop allows for pre-processing large datasets for model training and deployment.. Dean, part of the nomadic human tribe, believes a boat anchored ashore is a tragedy, as it denies the boat its purpose.

This opportunity is with one of our global high-tech clients, a leader in AI-driven technology and digital transformation.. Our client is at the forefront of artificial intelligence, leveraging cutting-edge data science and machine learning to solve complex challenges.. Expertise in Python, R, SQL, and data science libraries (Pandas, NumPy, SciPy, Scikit-learn).. Experience with deep learning frameworks (TensorFlow, PyTorch).. Proficiency in big data technologies (Spark, Hadoop, Databricks, Snowflake).

Job Title: Senior Machine Learning Engineer. Were hiring a Machine Learning Engineer to join a fast-growing AI startup based in San Francisco , focused on transforming the way sales teams operate.. Proficiency in Python, plus experience with libraries like TensorFlow, PyTorch, Keras, scikit-learn. Strong knowledge of NLP, Deep Learning, Transformers, LLMs. Bachelor's or Masters degree in Computer Science, Machine Learning, Data 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 Adobes 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 inferenceto 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).

Implementing state-of-the-art model-based planning and reinforcement learning algorithms, including offline and off-policy methods that learn from human demonstrations.. - Scaling machine learning systems to massive datasets using big data technologies such as Spark and Hadoop.. - Building visualization and data exploration tools that automate the analysis and debugging of machine learning models.. - Proficiency with the Python machine learning stack, including numpy, scipy, pandas, scikit-learn, matplotlib, tensorflow, keras, pytorch (not all required, more the merrier).. Nor will ROBOTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

Machine Learning Engineer Graduate (E-Commerce Knowledge Graph - CV/Multimodal/NLP) -2025 Start (PhD) Join to apply for the Machine Learning Engineer Graduate (E-Commerce Knowledge Graph - CV/Multimodal/NLP) -2025 Start (PhD) role at TikTok. Passion or exposure to areas like machine learning, NLP (Natural Language Processing), multimodal systems, and computer vision. Familiarity with deep learning frameworks like TensorFlow/PyTorch. Sign in to set job alerts for “Machine Learning Engineer” roles. Machine Learning Engineer, Early Stage Project Mountain View, CA $136,000.00-$185,000.00 2 weeks ago

We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards.. We’re looking for a seasoned Machine Learning Engineer to join the Data Science team at Venmo—someone who thrives on transforming complex challenges into innovative, data-driven solutions.. Advanced degree (M.S. or Ph. D.) in a quantitative field such as Computer Science, Machine Learning, Statistics, or Applied Mathematics.. Strong proficiency in Python and experience with modern ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost).. Proficiency in SQL and experience working with large-scale data systems in cloud-based environments (e.g., BigQuery, Spark, Airflow).

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

You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: computer vision, graph neural network, natural language processing (NLP), inclusive AI, reinforcement learning, user modeling, and recommender systems. Contribute to cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems.. Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across growth, discovery, ads and search.. MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field.. Python) or one ML framework (Tensorflow, Pytorch, MLFlow)