Data Science & Machine Learning Jobs

What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scie

SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others). As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc. Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyT

You will work closely with other Machine Learning Engineers, Data Scientists and Software Engineers across diverse ML domains spanning multimodal machine learning, information retrieval, natural language processing and agentic AI. Expertise in one or more of the following areas: multimodal machine l

As a Machine Learning Scientist - Natural Language Processing (NLP) - Vice President in the Machine Learning Center of Excellence, you will own the full lifecycle of developing and deploying machine learning solutions, from ideation to production. The Chief Data & Analytics Office (CDAO) accelerates

Connectivity Engineer - Data Center Design, Engineering, & Construction Responsibilities:. Partner with DEC design and engineering teams to digitally support design reviews, BOM reviews, and as-built drawing validations. Please note that Meta may leverage artificial intelligence and machine learning

End‑to‑end hands‑on experience with building data processing pipelines, large‑scale machine learning systems, and big data technologies (e. Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. Use data driven methods and leve

As a Machine Learning Engineer in the International Data Engineering team, you will join a phenomenal team of passionate engineers to design, implement and qualify Apple Intelligence features globally across a wide variety of Apple's products. Hands-on experience with handling large datasets and dev

Your Expertise: PhD/Master’s degree, preferably in CS, or equivalent experience 6/9+ years of ML engineering experience, with ownership responsibility over large-scale software systems Background in the design and development of AI and ML systems and services, and a deep passion for building effic

Producing safety evaluations that uphold Apple's Responsible AI values requires thoughtful data sampling, creation, and curation for evaluation datasets; high quality, detailed annotations and careful auto-grading to assess feature performance; and mindful analysis to understand what the evaluation

PhD new grads or MS grads with 1-3 years of experience in applied machine learning, familiar with one or more algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep, etc. Cl

End‑to‑end hands‑on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e. Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. PhD in Machine Learning or related

Machine Learning Engineer to help build production-grade NLP systems that power our data privacy and information extraction products. Partner with Product and Design to shape how ML models drive user-facing features, and work with the broader engineering team to integrate them into scalable systems.

Machine Learning Scientist, NLP (All Levels). Machine Learning Engineering (New Graduate), AGI Autonomy. Job function Research, Science, and Engineering Industries Software Development Referrals increase your chances of interviewing at Amazon by 2x Sign in to set job alerts for “Machine Learning S

Have 4+ years of software engineering experience Like working on systems and tools that make other people more productive Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to lea

Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills Deep understanding of Machine Learning best practices (eg. Hive) Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models, as well as i

We seek a hands-on leader for the team building the in silico components of ATLAS, spanning machine learning, data science, cheminformatics, and software engineering. Your team’s impact will span from the software foundations of ATLAS – tying our high-throughput chemistry and biology platform in

End‑to‑end hands‑on experience with building data processing pipelines, large‑scale machine learning systems, and big data technologies (e. Build cutting‑edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. Use data‑driven methods and

As MLRE on the Data Foundation team, you’ll work on cutting edge research to define the data flywheel that makes the whole machine move. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal