Staff /Senior ML Engineer, Generative AI - San Mateo, CA
Company: Guidewire Software
Location: San Mateo
Posted on: October 19, 2024
|
|
Job Description:
Staff/Senior Machine Learning Engineer, Generative AI - San
Mateo, CAYour day-to-day:Be a technical leader for a
cross-functional team implementing Generative AI (GenAI) solutions
for some of the most critical business needs in the insurance
industry. You will be a primary stakeholder and key developer for
the complete end-to-end GenAI platform at Guidewire. Design, test
and build GenAI infrastructure for guidewire Large Language Models
(LLMs). Creating data solutions, prompt engineering for models,
fine tuning and deploying LLMs.Guidewire's GenAI team is the Center
of excellence formachine learning and AI. This role is a great
opportunity for individuals motivated by learning cutting edge
technologies and their application to solve real world business
problems. Guidewire is the AWS for insurance companies that use our
platforms and applications. The GenAI solutions developed by you
and this team will be used by hundreds of insurance companies and
impact billions of dollars in annual
transactions.Requirements:Bachelor's or Master's Degree in Computer
Science, or equivalent level of demonstrable professional
competency.5+ years of professional experience working in Machine
Learning and Data Science.Demonstrated leadership experience on
technical projects.Experience conducting code reviews and being a
coach and mentor to other developers.Knowledge of ML Ops good
practices for model development, deployment and monitoring.Expert
in Python programming language.A strong understanding of AWS cloud
technologies such as S3, EC2, RDS, etc.Experience developing model
pipelines using AWS Sagemaker.Experience using statistical learning
algorithms such as GLM, XGBoost, and Random Forest to solve real
world business problems.Deep understanding of neural network and
transformer algorithms for large language and chat
models.Familiarity with the setup and use of various open source
LLM foundation models.Prompt engineering and fine tuning concepts
for LLM performance.Creating and using vectorized databases for
data storage and retrieval.Familiarity with various LLM
architecture patterns such as RAG and FLARE.Understanding of LLM
performance evaluation and monitoring using NLP and LLM-assisted
metrics.Preferred Skills:Data engineering experience with SQL,
Spark or AWS Glue.Experience using Docker or Kubernetes to deploy
containerized applications.Creating APIs services for backend
application functionality.Experience using TeamCity and Terraform
for infrastructure setup and CI/CD.Insurance industry or related
experience such as banking and finance.$122,000 - $244,000 a
yearOur salary ranges are determined by role, level, and location.
The range displayed on each job posting reflects the minimum and
maximum target for new hire salaries for the position across all US
locations. Within the range, individual pay is determined by work
location and additional factors, including job-related skills,
experience, and relevant education or training. Your recruiter can
share more about the specific salary range for your preferred
location during the hiring process.Please note that the
compensation details listed in US role postings reflect the base
salary only, and do not include bonus, equity, or benefits.Be
Yourself & Stay CleverAt Guidewire, we value autonomy, empowerment,
and inclusivity, which is why we want each of our employees to be
heard and celebrated. We're in the business of uplifting people, so
they can fulfill their goals and ambitions. So, there's plenty of
time and space for you to broaden your skills and experience.If
we've got you excited and you're ready for a career upgrade, then
we're eager to hear from you! Get in touch to learn more about the
Guidewire team you'll work with.Our employee cultureWho We
Are#LI-ET#guidewire#generativeai#llm#python#featuredAbout
GuidewireGuidewire is the platform P&C insurers trust to
engage, innovate, and grow efficiently. We combine digital, core,
analytics, and AI to deliver our platform as a cloudservice. More
than 540+ insurers in 40 countries, from new ventures to the
largest and most complex in the world,run on Guidewire.As a partner
to our customers, we continually evolve to enable their success. We
are proud of our unparalleled implementation track record with
1600+ successful projects, supported by the largest R&D team
and partner ecosystem in the industry. Our Marketplace provides
hundreds of applications that accelerate integration, localization,
and innovation.For more information, please visitand follow us on
Twitter:.Guidewire Software, Inc. is proud to be an equal
opportunity and affirmative action employer. We are committed to an
inclusive workplace, and believe that a diversity of perspectives,
abilities, and cultures is a key to our success. Qualified
applicants will receive consideration without regard to race,
color, ancestry, religion, sex, national origin, citizenship,
marital status, age, sexual orientation, gender identity, gender
expression, veteran status, or disability. All offers are
contingent upon passing a criminal history and other background
checks where it's applicable to the position.Disability
Accommodations and Guidewire's Appeals Process. Guidewire provides
accommodations to the hiring process to create a fair opportunity
for candidates with disabilities to contend for open positions.
Accommodation requests should be directed to . If things do not go
as hoped, we invite you to use our appeals process. Guidewire
promises to independently review any denied accommodation and any
decision not to offer you the position. The appeals process is the
same in either case. Within five business days of receiving a
notice of denial of an accommodation, or receiving a notice of your
non-selection for a vacancy, e-mail to make an appeal. Guidewire
will assign a new decision-maker to review the request and/or
hiring decision, who will then notify you in writing of a decision
within 10 business days.
#J-18808-Ljbffr
Keywords: Guidewire Software, Turlock , Staff /Senior ML Engineer, Generative AI - San Mateo, CA, Engineering , San Mateo, California
Click
here to apply!
|