Senior Machine Learning Engineer
Company: Snap Finance
Location: Salt Lake City
Posted on: April 9, 2021
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Job Description:
Are you looking for a friendly, fast-paced workplace with an
emphasis on providing real, visible impact to a variety of
stakeholders? Snap Finance is a thriving leader in the financial
services industry, and our team members are the foundation of our
success. Snap knows that happy, empowered, and engaged team members
are essential to innovation and business success - and our approach
is working. Come join us!
We are looking for machine learning engineers to join our machine
learning team. The ideal person will have industry experience
working on a range of classification and optimization problems.
This person will take their expertise and apply it to exciting and
diverse data with some of the most interesting and challenging
inference problems in machine learning. Position would include
model development and deployment and compiling/analyzing data from
multiple sources with the objective of improving predictions to
reduce risk, empower consumers and broaden our influence in a
rapidly growing market of alternative finance.
The Job
Develop state-of-the-art and scalable models and tools leveraging
machine learning, optimization, and rules-based models with an
emphasis on optimizing credit risk and analyzing customer
behavior
Propose, gather and integrate data and create valuable features
Code projects in parallel with the data engineering team
Assemble large, complex data sets that meet functional and
non-functional business requirements
You
M.S in a quantitative field such as Statistics, Econometrics,
Mathematics, Physics, Computer Science, or related quantitative
field.
B.S in the fields described above will be considered if skill set
and experience are robust
3+ years experience in one or more of the following areas: machine
learning, recommendation systems, data mining, or related
research
Skills, Experience & Qualifications Required
Strong background in Python, Java , or other general-purpose
programming languages
Experience with classification methods (e.g., Neural Networks,
Gradient Boosting, Decision Trees, Random Forest)
Experience with filesystems, server architectures, and distributed
systems
Sequence modeling (e.g.RNNs, Seq2Seq, ARIMAX)
Statistical analysis (e.g., Hypothesis testing, experimental
design, hierarchical modeling, Bayesian and Frequentist
methods)
Experience with automated workflows: Airflow, Jenkins, etc.
Experience with AWS cloud services such as EC2 and S3
Working knowledge of message queuing, stream processing, and highly
scalable data stores
Familiarity with common computing environment (e.g. Linux, Shell
Scripting)
Strong SQL skills
Proven ability to translate insights into business
recommendations
Personal Characteristics:
Strong analytical and problem solving skills
Excellent communication skills with the ability to clearly explain
technical topics to a non-technical audience
Team-oriented but able to complete tasks independently at a high
standard
Structured, organized and detail-oriented
Proactive, enthusiastic and flexible
Fluency in English, both in oral and written form
Ability to take projects from conceptualization to
implementation
Must be able to work onsite in our Salt Lake City office and be
legal to work in the United States
What we offer:
Competitive salary
Health Benefits
Generous vacation
Great office culture
Ping-Pong and pool tables
Snacks and rocket fuel
Mac computer
Great growth potential in a rapidly changing company
More
Snap values diversity, and all qualified applicants will be
considered for employment without attention to race, color,
religion, sex, sexual orientation, gender identity, national
origin, veteran or disability status.
Learn more by visiting our website at www.snapfinance.com
PM21 PI132991505
Keywords: Snap Finance, Salt Lake City , Senior Machine Learning Engineer, Accounting, Auditing , Salt Lake City, Utah
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