Data Scientist: AI and ML (Remote)
Company: American Family Insurance
Location: San Francisco
Posted on: April 10, 2021
At American Family Insurance, we believe people are an
organization's most valuable asset, and their ideas and experiences
matter. From our CEO to our agency force, we're committed to
growing a diverse and inclusive culture that empowers innovation
that will inspire, protect, and restore our customers' dreams in
ways never imagined. American Family Insurance is driven by our
customers and employees. That's why we provide more than just a job
we provide opportunity. Whether you're already part of our team in
search of a new challenge or new to our company and ready for
what's next, you're in the right place. Every dream is a journey
that starts with a single step. Start your journey right here. Join
our team. Bring your dreams: Job ID: R21394 Data Scientist: AI and
ML (Remote) (Open). Compensation may vary based on the job level
and your geographic work location. Compensation Minimum:$88,400.
Compensation Maximum:$141,600. Summary: Join the Machine Learning
Research Team at American Family Insurance. The vision of this
group is to provide innovative enterprise solutions inspired by ML,
AI & data science through state-of-the-art research & assimilation.
The research approach combines the art of the possible, product
design, enterprise collaboration, and the research community.
Research pillars include: Human in the Loop, Document Intelligence,
Aerial Imagery, Process Optimization, AI-Based Data Management, &
Knowledge Management. External Research Partnerships include: Mila,
NIU, Stanford Data Science Consortium, The University of Chicago,
National Robotics Engineering Center, and the American Family
Insurance Data Science Institute at the University of Wisconsin.
For more information on the team, please visit: Job Description:
Primary Accountabilities: Keeping abreast with the latest advances
of the research, tools and datasets of machine learning, deep
learning and artificial intelligence. Be able to rapidly prototype
and test innovative hypotheses resulting in experiments and
discoveries that are publication quality. Lead or participate in
the publication process. Building scalable infrastructure that
enables training, evaluating, deploying and serving machine
learning and deep learning models. Design and develop lineage and
artifact tracking infrastructure for training data, ML models and
reproducible ML Pipelines for orchestrating various components for
ML models ( Preferable on AWS and Google Cloud Platform ). Hands-on
design and implement machine learning and deep learning software.
Advocate and liaise across ML research team and engineering teams
to promote and support engineering best practices. Willing to learn
new and emerging tools for machine learning software, pipelines and
model deployment at scale. Leveraging machine learning, predictive
modeling and operational research across a variety of problem
domains or business initiatives in insurance, to support business
partner objectives and business needs. Collaborate with business
partners to develop problem definition, analytical approach, and
research design for modeling projects. Representing team to
coordinate and support internal and external machine learning
research partners and projects. Travel Requirements: This position
requires travel up to 10% of the time. Specialized Knowledge and
Skills Requirements: Solid programming skills in C/C++, Java, or
Python. Familiarity with one or several of the following areas:
Natural Language Processing, Computer Vision, Speech Recognition,
Reinforcement Learning, Ranking and Recommendation. Participate in
the research paper writing and publication processes. Experience in
distributed system design and development. Experience in
distributed data processing tools e.g. Spark, Kafka. Experienced in
distributed container orchestration system, e.g. Kubernetes.
Experience in building scalable software and infrastructure in AWS
and/or Google Cloud Platform. Knowledge of the following areas is a
plus: Experience in machine learning frameworks such as Tensorflow,
Pytorch, Keras, Scikit-Learn etc. Experience with GCP Kubeflow,
AutoML and AI Platform. Experience in monitoring the performance of
machine learning models at scale. Experience in scalable cloud
infrastructure that enables training, evaluating, deploying and
serving machine learning and deep learning models. Education and
Licenses: Master's Degree in Mathematics, Statistics, Physics,
Computer Sciences or Engineering, or related quantitative fields or
equivalent experience. PhD degree is a plus: Additional Job
Information: Depending on qualifications, candidates may be
considered at different levels. Offer to selected candidate will be
made contingent on the results of applicable background checks.
Offer to selected candidate is contingent on signing a
non-disclosure agreement for proprietary information, trade
secrets, and inventions. We are open to hiring candidates to work
remotely (anywhere in the USA). However, we are also open to
candidates who will relocate to our headquarters location of
Madison, WI or in our Seattle, WA or Chicago, IL locations.
Relocation assistance may be available. #LI-Remote. #IndeedLow.
When you work at American Family you can expect benefits that
support your physical, emotional, and financial wellbeing. You will
have access to comprehensive medical, dental, vision and wellbeing
benefits that enable you to take care of your health. We also offer
a competitive 401(k) contribution, a pension plan, an annual
incentive, and a paid-time off program. In addition, our student
loan repayment program and paid-family leave are available to
support our employees and their families. Interns and contingent
workers are not eligible for American Family Enterprise benefits.
Stay connected: Join Our Enterprise Talent Community !.
Keywords: American Family Insurance, San Francisco , Data Scientist: AI and ML (Remote), Other , San Francisco, California
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