AI Support Engineer
Company: BaseTen Labs, Inc.
Location: San Francisco
Posted on: January 23, 2025
Job Description:
ABOUT BASETENWe're a growing team of builders backed by top-tier
investors, including , , , and at . ML teams at enterprises and
category-defining AI-native companies like , , , , and use Baseten
to power their core production workloads with best-in-class
performance, security, and reliability. While we've unlocked PMF
and secured , the ML infrastructure market is massive, and we're
just getting started. If you're excited to work on engaging and
relevant problems while building something new from the ground up,
come join us!THE ROLEAs an AI Support Engineer, you'll manage and
resolve support requests, maintain our knowledge base, and use
various tools to troubleshoot issues, ensuring our users have a
seamless experience. This role includes a mix of core
responsibilities and opportunities for extended contributions.We
all work closely with our users, learning from their experiences
and turning our learnings into ideas for improving Baseten's
support processes and user experience.RESPONSIBILITIES:
- Resolve critical user issues and build tools to assist
customers in smoothly deploying ML models at scale.
- Own and maintain our Product Knowledge Base.
- Collaborate with our Forward Deployed Engineering team to
troubleshoot complex ML pipeline issues, from data preprocessing to
model serving.
- Assist users in optimizing ML models, including working with
technologies like TensorRT for GPU acceleration.
- Become an expert in our open-source Truss library, contributing
to its development and helping users package diverse ML models
efficiently.
- Identify patterns in user feedback to shape our product
roadmap, particularly around ML model deployment and scaling
features.
- Own products and projects end-to-end, functioning as both an
engineer and a project manager, with a focus on user empathy,
project specification, and end-to-end execution.
- Navigate ambiguity and exercise good judgment on tradeoffs and
tools needed to solve problems, avoiding unnecessary
complexity.
- Demonstrate pride, ownership, and accountability for your work,
expecting the same from your teammates.REQUIREMENTS:
- Bachelor's, Master's, or Ph.D. degree in Computer Science,
Engineering, Mathematics, or related field.
- 3+ years of work professional work experience in a fast-paced,
high-growth environment.
- Experience in resolving critical user issues and building tools
for smooth ML model deployment.
- Familiarity with troubleshooting complex ML pipelines,
including data preprocessing and model serving.
- Knowledge of ML model optimization, including technologies like
TensorRT for GPU acceleration.
- Expertise in using and contributing to open-source libraries,
particularly for packaging ML models.
- Ability to identify and analyze user feedback to influence
product development.
- Ability to own projects end-to-end, from project specification
to execution.BENEFITS:
- Competitive compensation package (Unlimited PTO, 401k, covered
healthcare premiums).
- A unique opportunity to be part of a rapidly growing startup in
one of the most exciting engineering fields of our era.
- An inclusive and supportive work culture that fosters learning
and growth.
- Exposure to a variety of ML startups, offering unparalleled
learning and networking opportunities.Apply Now to embark on a
rewarding journey in shaping the future of AI! If you are a
motivated individual with a passion for machine learning and a
desire to be part of a collaborative and forward-thinking team, we
would love to hear from you.At Baseten, we are committed to
fostering a diverse and inclusive workplace. We provide equal
employment opportunities to all employees and applicants without
regard to race, color, religion, gender, sexual orientation, gender
identity or expression, national origin, age, genetic information,
disability, or veteran status.
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Keywords: BaseTen Labs, Inc., Santa Rosa , AI Support Engineer, Engineering , San Francisco, California
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