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Full Stack Machine Learning Scientist Jobs

Senior Machine Learning Scientist
By DeepCure At , Remote
Industry experience (based on the above requirement), preferably in a small start-up environment, working on early-stage drug discovery applications.
Knowledge of chemical informatics, molecular modeling, and drug discovery workflows.
Mentor, learn, and share cross-disciplinary knowledge with others along the way.
Tax-advantaged commuter benefits for public transportation or parking.
Strong passion for using machine learning to improve our world.
A track record of developing novel machine-learning solutions for real-life problems.
Machine Learning Scientist I
By Cambia Health Solutions At , Portland
Healthcare knowledge: Previous experience is beneficial but not required.
Communication and teamwork: Good communication skills to collaborate effectively with cross-functional teams. Willingness to collaborate and learn with team members.
Work primarily performed in a hybrid environment consisting of in-office and working from home.
One-time furniture and equipment allowance for employees working from home
one-time furniture and equipment allowance for employees working from home
Reducing our members’ claim costs using both supervised and unsupervised approaches.
Machine Learning Scientist Jobs
By 24 Seven Talent At United States
Effective communication skills to convey technical concepts to both technical and non-technical audiences.
Experience with active learning, reinforcement learning, causal inference, and/or online learning approaches.
Knowledge of experimental design and Bayesian uncertainty estimation.
A deep passion for AI and a strong interest in building machine learning systems.
Proficiency in working with data using Python and SQL.
Familiarity with the entire ML stack, from initial research and development to model deployment in production environments.
Machine Learning Scientist Iii
By Lytx, Inc. At San Diego, CA, United States

SCIENCE Lytx, Inc. seeks a Machine Learning Scientist III in San Diego, CA to develop & improve tools & workflows to optimize machine learning development & production pipelines. Reqs: ...

Machine Learning Scientist Jobs
By Bayer At Cambridge, MA, United States
Ph.D. degree in Computer Science, Computational Chemistry/Biology/Physics, Chemical/Biological/Molecular Engineering, a related technical field, or equivalent practical experience;
Experience developing machine learning methods for chemistry, biochemistry, chemical or biological engineering;
Excellent programming skills in Python;
Experience with deep learning libraries like PyTorch, JAX, and TensorFlow.
Experience with data science and cheminformatics libraries, such as Pandas, Scikit-Learn, Matplotlib, RDKit, OEChem;
Ph.D. degree in the above-mentioned subjects and 1+ years of relevant research experience;
Scientist I, Machine Learning
By Generate Biomedicines At Somerville, MA, United States
PhD in Computational Biology, Computer Science, or a related field with demonstrated experience working on scientific applications
Experience developing, debugging, and applying models using modern deep learning frameworks.
Proficiency in Python and experience analyzing data with Numpy/Scipy, R, or similar.
Foundational knowledge around probabilistic machine learning and optimization methods
Practical experience developing deep generative models (e.g., autoregressive models, VAEs, Flows, GANs, EBMs etc.)
Demonstrated experience developing software in a team setting.
Data Scientist / Machine Learning
By Oreva Technologies, Inc. At United States
6 years Data Science, Machine Learning, Statistics, Applied Mathematics, or another highly quantitative discipline.
Building predictive models using machine learning, deep learning, simulation/process, and/or statistical models.
Python for data analysis and modeling (numpy, pandas, matplotlib, seaborn, sklearn) Big datasets, with SQL and PySpark.
Learn new quantitative domains and modeling techniques.
Translating scientific models into code.
Desired agricultural science or agricultural datasets.
Machine Learning Engineer/Scientist, Motion Planning - Autopilot
By Tesla At Palo Alto, CA, United States
Strong experience with Python and software engineering best practices
Experience with Pytorch or another major deep learning framework
An “under the hood” knowledge of deep learning: layer details, loss functions, optimization, etc.
Experience with Imitation Learning, Reinforcement Learning (offline/off-policy), modern Neural Network architectures (e.g., GPT, Diffusion), or related techniques.
Family-building, fertility, adoption and surrogacy benefits
401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
Full Stack Machine Learning Scientist
By Coursera At United States
Highly skilled with distributed processing architecture and ML/data workflow management platform (Spark, Databricks, Airflow, Kubeflow, MLflow etc)
Highly skilled with strong proficiency in ML ops with experience in building large-scale ML applications, services, pipelines and architecture
Highly skilled with Java development, Python and SQL/MySQL.
Solid understanding and experience in system design of ML systems (design pattern, OOD, architecture, modules, interfaces, etc)
Experience with containerization such as Docker and Kubernates
Solid understanding in machine learning theory and practice, and experience using machine learning tools (Scikit-Learn, TensorFlow, Weka etc.)