We're seeking an AI Data and Python Tools Engineer to develop and deploy intelligent tools that leverage big data infrastructure and modern AI architecture. Develop and deploy AI-powered full-stack applications using Python, React, and modern machine learning frameworks. Experience with real-time da
Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related technical field - or equivalent practical experience. As a Senior Machine Learning Engineer, you will join end-to-end development of large language models and agentic systems, from training pipelines to evaluation frame
Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores. Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA. Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation
Build cutting‑edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. End‑to‑end hands‑on experience with building data processing pipelines, large‑scale machine learning systems, and big data technologies (e. With more than 500 million u
Develop and deploy AI-powered full-stack applications using Python, React, and modern machine learning frameworks. We're seeking an AI Data and Python Tools Engineer to develop and deploy intelligent tools that leverage big data infrastructure and modern AI architecture. Software Engineering & AI/ML
Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge o
Technology – Data and Decision Science – AI Native Engineering AI/Machine Learning Engineer, Manager Consultant The opportunity Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. Strong foundation in mathematics, statis
Machine Learning Engineering (New Graduate), AGI Autonomy. Bachelor’s degree in Computer Science or related technical field Strong proficiency in Python Experience with deep learning methods and tools, e. Machine Learning Engineering (New Graduate), AGI Autonomy.
AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA. Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred. Strong foundational knowledge in machine learning and deep learning algorithms.
Perks & Benefits for Full-Time Employees. This role is for someone who has deep experience with recommendation systems at scale and is energized about building a new and better one. Partner with leaders across product, engineering, and research to decide how recommendations evolve with our platform.
You’ll contribute end to end by designing and validating deep learning approaches for large‑scale wearable time‑series and running rigorous evaluations on research and clinical datasets. Demonstrated success developing deep learning models for large‑scale time‑series or sensor data, ideall
Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills Deep understanding of Machine Learning best practices (eg. Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunit
Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction. Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization mod
Reporting to the CTO, you will be a hands-on leader for the team building the in silico components of ATLAS, spanning machine learning, data science, cheminformatics, and software engineering. Job Summary We seek a hands-on leader for the team building the in silico components of ATLAS, spanning mac
A pioneering technology company at the forefront of geospatial intelligence is seeking a Director of Software Engineering in San Francisco, CA. Extensive knowledge of geospatial libraries for raster data (e. My client is a cutting-edge geospatial intelligence company deploying an advanced constellat
The role involves leading the design and deployment of large-scale time series forecasting models and continuously enhancing forecasting strategies using advanced machine learning methods. Proficiency in Python, SQL, and causal inference techniques is essential. A leading analytics firm is seeking a
We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses. Data Analysis & Feature Engineering.
Strong understanding of Python for data manipulation, automation, and reporting. Experience with MySQL database design, optimization, and management. Ability to write complex SQL queries and integrate them with Python workflows.
A leading SaaS company is looking for an experienced Data Engineer to manage their extensive data pipeline and improve their database of contact and company records. The role requires strong expertise in SQL and Python, as well as experience with data management. Ideal candidates will contribute to