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 frameworks and production deployment. Direct experience with agentic systems, including tool use, environment design, or reinforcement learn
Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA. Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA. Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pine
Strong grounding in probability, statistics, and experimental design; proven ability to design rigorous evaluations and interpret results from large research or clinical datasets. You’ll contribute end to end by designing and validating deep learning approaches for large‑scale wearable time‑se
The ideal candidate will have demonstrated capability to deploy data science and machine learning models with large datasets in an industry setting. Strong programming skills in Python, with experience using libraries such as Pandas, SciPy, and scikit-learn. Strong data analysis skills, including th
AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA. Strong foundational knowledge in machine learning and deep learning algorithms. AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid
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. You should be strong in core data scien
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
As an SDE in the pre-silicon team, you will be responsible for driving the pre-silicon hardware/software co-development for our machine learning chips. You will work with architecture, design and emulation teams to build new silicon functionality. If you have a solid background in embedded software,
Role: Machine Learning Engineer with Python. Tensor flow and Deep Learning hands on experience. Talent to have very good hands on experience in Machine learning, hands on experience.
You’ll manage distributed data pipelines, collaborate closely with researchers to translate requirements into robust systems, and harden pipelines that serve as the backbone for Sora’s rapid iteration cycles. As a Research Engineer, Distributed Data Systems, you will design and scale the infrast
Lead Machine Learning Engineer (Gen AI, Python, Go, AWS). As a Capital One Machine Learning Engineer (MLE) on the GenAI Workflows Serving team, you'll be part of an Agile team dedicated to designing, building, and productionizing Generative AI applications and Agentic Workflow systems at massive sca
Machine Learning Engineer, (Applied Machine Learning), Ai Data Platform. Join the Ai Data Platform Applied Machine Learning team to pioneer enterprise solutions where generative AI meets Apple's unique commitment to privacy-first innovation. MS or Phd in Machine Learning, Natural Language Processing
We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and optimizing these models to perform efficiently in real-world robotic environments. Machine Learning Engineer, Reinforcement Lear
The Marketing Data Science (MDS) team is seeking an experienced Machine Learning professional to join the group. Design, develop, and deploy machine learning models to optimize customer acquisition, onboarding, and lifecycle engagement across financial products (e. Strong proficiency in Python, SQL,
We're looking for a Machine Learning Engineer with a focus on behavior learning, specifically data-driven behavior policies and robust data infrastructure. Machine Learning with Deep Learning frameworks, such as PyTorch/Tensorflow/JAX to solve real-world problems. Design, train, validate, and launch
Job Title: GCP Certified Data Engineer or Certified Machine Learning Engineer. We are seeking Professional Certified GCP engineers in Data or Machine Learning space. Professional GCP Certifications in Data or Machine Learning Space.