Technical Lead/Manager
ML Vision and Multimodality
Confirmed live in the last 24 hours
SambaNova Systems

51-200 employees

Hardware for AI
Company Overview
SambaNova's mission is to enable the future of AI today by providing purpose-built deep learning solutions, delivered as a service and deployable in weeks rather than years to accelerate AI adoption and value creation.
AI & Machine Learning
Financial Services
Government & Public Sector

Company Stage

Series D

Total Funding

$1.1B

Founded

2017

Headquarters

Palo Alto, California

Growth & Insights
Headcount

6 month growth

4%

1 year growth

1%

2 year growth

1%
Locations
Palo Alto, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Agile
Python
Data Science
Tensorflow
Data Structures & Algorithms
Pytorch
Data Analysis
CategoriesNew
AI & Machine Learning
Applied Machine Learning
Deep Learning
Computer Vision
Requirements
  • Master's or PhD in a quantitative field such as Data Science, Computer Science, Statistics, or a related discipline.
  • 8+ years of experience in Machine Learning, with a focus in vision.
  • 2+ years proven success in technical leadership, while delivering impactful projects across the organization.
  • Strong expertise in machine learning algorithms, and data analysis techniques.
  • Proficiency in Python, with hands-on experience using machine learning libraries and frameworks such as Pytorch, Tensorflow, or JAX.
  • Strong communication and collaboration skills, with the ability to effectively convey technical concepts to both technical and non-technical stakeholders in a fast-paced context.
  • Experience and familiarity with production ML environments, including model release, evaluation and monitoring.
Responsibilities
  • Lead and mentor a team high-performing team of machine learning engineers in a fast-paced environment, providing technical guidance, mentorship, and support to drive their professional growth and development.
  • Oversee the rapid development and implementation of machine learning models, leveraging advanced algorithms and techniques to optimize performance.
  • Collaborate closely with cross-functional teams, including product managers, software engineers, and data engineers, to deliver data-driven insights and recommendations that enhance our solutions in an agile environment.
  • Stay at the forefront of industry trends, emerging technologies, and best practices in machine learning, vision and MLOps. Apply this knowledge to drive innovation, meet tight deadlines, and maintain a competitive edge.
  • Establish and maintain strong relationships with stakeholders, providing clear communication of technical concepts and findings to both technical and non-technical audiences.