Principal Machine Learning Engineer
Company: Accelere
Location: Austin
Posted on: February 22, 2021
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Job Description:
About the jobOur client--is a talent acquisition, talent
management, and attraction platform - with data-driven
search-and-match functionality enables organizations to reach the
best audiences to deliver hires. And while they focus on providing
amazing results and service for their customers, within their
exciting company you'll also find a high-performance environment of
collaboration, encouragement, transparency, and fun.About the
Position:This--Principal Machine Learning Engineer--position is a
high-impact role.--We are looking for an experienced machine
learning practitioner with high-standards to help scale and expand
high-value business initiatives.You will be joining a top-tier team
that understands the real-world business opportunity that machine
learning enables and how it can transform businesses. They iterate
with A/B testing to fail fast and learn quickly. The result is
real, measurable revenue and profit impact.The ideal candidate will
have a passion for technology with a clear, solid background
in--computer science. If you have a proven ability to learn,
explore, and quickly turn the latest technologies into value, then
you are the perfect candidate.Their team of experienced engineers
has deep industry experience in--search/information retrieval. The
team is highly collaborative while also being self-sufficient
enough to turn any idea into a business win.As a high impact
teammate, you will help with--everything from data ETLs to modeling
to model serving to test reporting. This unique opportunity will
expose you to deep insights into the technology and the business.
On a day-to-day basis,--expect roughly 20% of your time to be on
the serving/inference layer, 20% data science modeling, and the
rest will be around data cleansing, ETL, and analytics.The team is
working to improve many facets of the job recommendation process.
This involves gathering data from billions of monthly job queries
to create, test, and iterate on machine learning models. When
successful, we help job seekers find their perfect job faster and
employers receive a higher quality of
candidate.Experience/Qualifications/Skills:* Big Data processing
---Apache Spark--is the key to our data pipelines that create our
insights.* Understanding SQL is a must in this environment. For
maximum performance, we utilize--Scala.* Search technologies
---Lucene/Solr inverse index--powers billions of our queries every
month.* High-performance web services--- our--microservices scale
with--JAVA--technologies while providing sub-millisecond response
times.* Machine learning - our latest wins have come from ML
technologies like gradient boosted trees (XGBoost, MML Spark) and
deep learning (TensorFlow, Keras).* Python is the preferred
language here.* Most importantly, the highly qualified candidate
has the initiative and ability to quickly learn and apply the
above.Minimum Requirements:* Bachelor or higher degree in--Computer
Science--from a top university.* Five (5) to ten (10) years--of
computer programming work experience with proven, high-value
results.* Two (2) years--of data science, machine learning, or data
engineering work experience.?Benefits:* Highly competitive salary*
Company-paid gym membership* Comprehensive, company-paid health,
vision, and--dental--insurance premiums for you and your
dependents* 401(k) retirement plan with a 3% employer contribution*
Paid company holidays & Unlimited PTO* Awesome company events
Keywords: Accelere, Austin , Principal Machine Learning Engineer, Education / Teaching , Austin, Texas
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