Machine Learning Engineer (open to remote)
Company: American Family
Posted on: June 11, 2021
Location: AF-IL Offsite Illinois
Location: AF-MA Offsite Massachusetts
Location: AF-MN Eden Prairie Office
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.
R21394 Machine Learning Engineer (open to remote) (Open)
Compensation may vary based on the job level and
your geographic work location.
Compensation Minimum:$88,400 Compensation Maximum:$141,600
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
For more information on the team, please visit:
Keeping abreast with the latest advances of the research,
tools and datasets of machine learning, deep learning and
Be able to rapidly prototype and test innovative
hypotheses resulting in experiments and discoveries that are
Lead or participate in the publication process.
Building scalable infrastructure that enables training,
evaluating, deploying and serving machine learning and deep
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
Hands-on design and implement machine learning and deep
Advocate and liaise across ML research team and
engineering teams to promote and support engineering best
Willing to learn new and emerging tools for machine
learning software, pipelines and model deployment at
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
Representing team to coordinate and support internal and
external machine learning research partners and
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.
Specialized Knowledge and Skills
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
Experience in distributed system design and development.
Experience in distributed data processing tools e.g. Spark,
Experienced in distributed container orchestration system, e.g.
Experience in building scalable software and infrastructure in
AWS and/or Google Cloud Platform.
Knowledge of the following areas is a
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.
- This position requires travel up to 10% of the time.
Additional Job Information:
Depending on qualifications, candidates may be considered at
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
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
Stay connected: Join Our Enterprise Talent
Keywords: American Family, Casper , Machine Learning Engineer (open to remote), Other , Casper, Wyoming
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