Senior Machine Learning Engineer (NLP, LLM)
Company: Recruiting From Scratch
Location: San Francisco
Posted on: October 30, 2024
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Job Description:
Who is :
Recruiting from Scratch is a talent firm that focuses on placing
the best candidate for our clients. Our team is 100% remote and we
work with teams across North America, South America, and Europe to
help them hire.
https://www.recruitingfromscratch.com/
About Us:
We are establishing a new state of trust for global commerce and
capital markets through automating and streamlining the work of
assurance and audit practitioners specifically within
cybersecurity, privacy, and ESG (Environmental, Social,
Governance). Put simply, we build software for the people who
enable trust between businesses.
We're based in San Francisco, CA, but built as a remote-first
company that enables you to do your best work from anywhere. We're
backed by top investors including Bessemer Venture Partners, 8VC,
Floodgate, Y Combinator, DNX Ventures, Global Founders Capital,
Justin Kan, Elad Gil, and more.
We value diversity - in backgrounds and in experiences. We need
people from all backgrounds and walks of life to help build the
future of audit and advisory. Our team is inclusive, driven, humble
and supportive. We are deliberate and self-reflective about the
kind of team and culture that we are building, seeking teammates
that are not only strong in their own aptitudes but care deeply
about supporting each other's growth.
As an early stage start-up employee, you'll have the opportunity to
build out the future of business trust. We make audit
practitioners' lives easier by eliminating up to 50% of their work
and giving them better work-life balance. If you share our values
and enthusiasm for building a great culture and product, you will
find a home here.
About the Role
As a Senior Machine Learning Engineer, you'll play a crucial role
in developing and implementing ML-driven features that enhance our
platform's capabilities in the audit and advisory industry. You'll
focus on building first generation ML applications, particularly in
the areas of Natural Language Processing (NLP) and generative AI,
while contributing to the growth of our rapidly scaling Series
B-stage company. This role requires a balance of practical
application skills and the ability to conduct necessary research to
solve complex problems.
This is an opportunity to join as an early engineer at a company
with product-market fit that still has huge amounts of room to
grow. We're competing with legacy accounting and audit products
that are 20+ years old and have negative NPS, yet do billions in
sales and have seen little competition in a decade.
What You'll Do:
Collaborate with stakeholders to identify and map business problems
to ML solutions
Design, develop, and implement ML models with a focus on NLP and
generative AI applications
Curate, clean, and prepare data for model development and
training
Create and maintain ETL jobs for data processing
Conduct rapid prototyping of ML solutions to quickly iterate on
ideas
Stay current with the latest advancements in ML, particularly in
NLP and generative AI
Collaborate with the platform engineering team to integrate ML
solutions into the overall product architecture
Implement data flywheels to continuously improve ML features
through increased usage
Define and implement ML performance metrics
Contribute to the product roadmap with ML-driven feature ideas
Be an essential technical contributor at a Series B-stage company
as it scales
About You:
4-5 years of experience in applied machine learning or related
field
Strong proficiency in Python and its ML/data science libraries
Extensive experience with NLP techniques and generative AI
technologies
Experience with LLMs and both text-to-text and text-to-image
generative models
Proficiency in working with large datasets and creating ETL
processes
Experience with version control systems (e.g., Git) and CI/CD
practices
Ability to work in a fast-paced, changing startup environment
Nice to Haves:
Experience with rapid prototyping of ML solutions
Familiarity with model deployment processes
Knowledge of ML ops and experience building automated ML
pipelines
Experience with A/B testing and statistical analysis
Modern web tech stacks consisting of several of the following:
TypeScript, React, GraphQL, NodeJS, Hasura, Postgres, and AWS
Background in or exposure to the audit and advisory industry
Experience presenting technical concepts to non-technical
stakeholders
Experience mentoring or leading small teams
Some of our benefits include:
https://www.recruitingfromscratch.com/
#J-18808-Ljbffr
Keywords: Recruiting From Scratch, Sacramento , Senior Machine Learning Engineer (NLP, LLM), Engineering , San Francisco, California
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