Head of Machine Learning & Data Science
Company: Slab Inc.
Location: Palo Alto
Posted on: May 8, 2024
Job Description:
We seek an experienced ML/AI manager to lead the Machine
Learning and Data Science team. The ideal candidate is strong in
both practical and fundamental R&D, having deep and broad
expertise in several applied science disciplines. The talent we're
looking for should have a good overall understanding of
state-of-the-art machine learning algorithms and tools. We want a
candidate with a track record of managing applied scientists and AI
engineers, demonstrating how to lead and manage a team
effectively.Industrial AI problems require multiple disciplines,
great insight to recognize problem structures and technical
challenges to overcome, and the capability to devise creative
solutions for solving diverse AI problems. Good publication records
(e.g., NeurIPS, ICML, ICLR, AAAI, etc.) and good knowledge and
experience of computer science and engineering are strong pluses.
The candidate should also have extensive experience and skills in
collaboration with software engineering teams to keep his/her team
from being siloed.Responsibilities
- Conduct and coordinate research leading to large-scale ML
projects for industrial AI.
- Lead applied scientists to develop experiments, algorithms, and
prototypes that advance the state-of-the-art in industrial AI.
- Provide technical and scientific guidance to the team members
and support their career development.
- Develop cutting-edge ML algorithms such as online regression,
classification, supervised/unsupervised learning, anomaly
detection, and hybrid ML algorithms.
- Lead projects with complete independence and help from PMs even
when business, product, and technical strategies are not defined
and the problems to be solved are not known.
- Work with PMs to define use cases, collect data, and benchmark
the results.
- Work with software engineering teams to develop industrial AI
platforms and applications.
- Contribute to Gauss Labs's intellectual property pools by
publishing patents and technical papers.
- Communicate effectively with senior management as well as with
colleagues from science, engineering, and business backgrounds.Key
Qualifications
- Master's degree in applied research for machine learning and
data science, or a highly relevant field.
- Deep and broad expertise across several applied science
disciplines, being scientifically versatile and demonstrating
scientific and industrial maturity.
- 10+ years of experience in applying AI/ML to solve complex
business problems for large-scale applications.
- 5+ years of experience managing machine learning and data
scientists and engineers.
- Hands-on experience programming in Python, Matlab, R, Java,
C++, or other programming languages.Preferred Qualifications
- Ph.D. specializing in AI, machine learning, data science,
statistics, or related fields.
- Research experience in machine learning and data science
handling time-series data, predictive modeling, and anomaly
detection.
- Proven achievements in developing and managing a long-term
research vision and portfolio of research initiatives, with
algorithms and models that have been successfully integrated into
production systems.
- Project management experience working with cross-functional
teams in multiple geographic locations.
- Ability to translate informal customer requirements into
technical problem definitions, dealing with ambiguity and competing
objectives.
- Excellent written and verbal communication skills with the
ability to present complex technical information clearly and
concisely to various audiences.
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Keywords: Slab Inc., Sunnyvale , Head of Machine Learning & Data Science, Other , Palo Alto, California
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