LAI
Senior · Staff · Principal Machine Learning Engineer
San Francisco · Principal
Sponsorship not specifiedDetected 398 days ago
PythonAlgorithmsMachine LearningDeep LearningTensorFlowPyTorchData ScienceStatisticsCommunicationCollaborationProblem Solving
About the role
- Senior / Staff / Principal Machine Learning Engineer Location: Onsite San Francisco (5 days onsite AND hybrid options) We have multiple startups interested in talent.
- Instead of a perfect job description, we present talented individuals to companies and allow them to share how that talent fits in the organization.
Responsibilities
- Working with data scientists, software engineers, and other stakeholders to deliver effective ML solutions.
Requirements
- Strong proficiency in Python, R, or other relevant languages.
- Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.
- Ability to work effectively in a team environment.
Skills
- Programming Languages: Strong proficiency in Python, R, or other relevant languages.
- ML Frameworks: Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.
- Data Science Fundamentals: Solid understanding of statistical analysis, data modeling, and machine learning algorithms.
- Problem-Solving: Excellent analytical and problem-solving skills to address complex challenges.
- Communication: Effective communication skills to convey technical information to both technical and non-technical audiences.
- Education and Experience:
- A bachelor's or master's degree in computer science, engineering, mathematics, statistics, or a related field is typically required.
- Several years of experience in machine learning, data science, or software development is often preferred.
- Keeping abreast of the latest advancements in ML, AI, and related technologies.
- Excellent analytical and problem-solving skills to address complex challenges.
- Effective communication skills to convey technical information to both technical and non-technical audiences.
Compensation
- Compensation: Market range and can include equity – details can be provided after the specific client is determined.
Benefits
- Designing and implementing ML algorithms and models, including deep learning models.
- Compensation: Market range and can include equity - details can be provided after the specific client is determined.
This listing is sourced directly from LAI's careers page and normalized into a canonical job model.