Senior Applied Machine Learning Engineer at Retention Science

| Santa Monica
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The Data Team at ReSci is in a new phase of its evolution. We've scaled our predictive models to 350M+ users and we are looking for a Senior Machine Learning Engineer to help us innovate new models and improve our existing algorithms, to take our predictions to the next level! On our Data Team, you will work closely with other Data Scientists and Data Engineers to create the Machine learning backbone that powers our marketing automation platform ("Cortex") for commerce brands. Your expertise at algorithms will be paired closely with the software expertise of Data Engineers, and you will jointly own these ML systems.
We are looking for a team player who loves to build data products and wants to be involved in the entire process: working with PMs in product ideation, R&D / prototyping of feature engineering and modeling approaches, to scaling models across hundreds of clients in production. You should have a passion and deep theoretical understanding of Machine learning and can discuss in depth their theory, strengths, and drawbacks. In addition to the fundamentals, you should have experience shipping and scaling ML algorithms.
We ingest billions of user-level signals and use this as a basis for all our predictive models (recommenders, churn predictors, timing, price sensitivity, etc). Our model infrastructure is generalized to run for varieties of clients' data but at the same time tunable to provide clear and tailored results. Your day-to-day work will directly impact 100’s of your favorite brands and 100’s of millions of users!

Responsibilities:

  • Apply unsupervised and supervised machine learning for predictions that power our products: Cortex and Pocket Data
  • Maintain and improve product recommendation models, churn predictors, LTV, timing, price sensitivity scoring, bandit models, etc
  • Communicate methodology and results to technical and non-technical audiences
  • Build and design ML infrastructure: including ML monitoring, AB testing, Data connectors
  • Contribute to data pipelines and feature engineering layers for ML to flourish
  • Design reporting and analytics for clients on key campaign results

Qualifications:

  • Minimum 5 years in shipping Machine learning or data products at scale
  • Strong breadth of Machine learning techniques like classification, regression and clustering
  • MS/PhD strongly preferred in Computer Science, EECS or relevant field (know the maths)
  • Strong communication skills and able to speak to a non-technical audience about data science and AI
  • Strong Python, Spark AND Scala are desired but not mandatory
  • Experience with large-scale data processing tools: Spark, etc

About Us:
ReSci's mission is to make artificial intelligence accessible and usable for brands. 
Our values:
- Inspire with passion.
- Persevere with determination.
- Collaborate with unity.
- Grow without bounds.
- Create with impact.
- Lead with character.
Based out of Santa Monica, CA, our team consists of serial entrepreneurs who have all made Retention Science a leader in AI marketing. Our SaaS platform, “Cortex” helps online businesses target, engage, and retain customers. The Cortex marketing platform uses machine-learning algorithms to predict customer behavior by analyzing massive sets of demographic, social, and behavioral data to generate 1-to-1 retention campaigns personalized to each customer. Cortex makes 3.5+ billion predictions per day and processes 5k+ events per second.
Our founders have been recognized as the Ernst & Young Entrepreneurs of the Year, and our company was awarded Top 10 Big Data Startup of the Year by CRN, one of Fast Company's €œInnovation Agents€, Top 10 Software Company in Southern California from SocalTech, and identified by Inc. Magazine as one of the most innovative startups. Retention Science has also been featured in Forbes, the Wall Street Journal, TechCrunch, Bloomberg, and Reuters, among other notable publications. In addition, the most prestigious startup accelerator in LA (part of the TechStar Network), as well as many reputable angel investors and Venture Capital firms have provided their support and backing for our business.
We're passionate about what we do and we put our people first! We are a close-knit family whose members drink too much coffee, work hard, and never cease to brainstorm creative new ways to improve our solutions. We foster a dynamic and exciting start-up environment that is conducive for innovative thought; join us if you are interested in working with our world-class team!

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Technology we use

  • Engineering
    • JavascriptLanguages
    • PythonLanguages
    • RubyLanguages
    • ScalaLanguages
    • SqlLanguages
    • AWSLanguages
    • Lambda/ServerlessLanguages
    • Machine Learning Languages
    • ReactLibraries
    • sparkLibraries
    • Node.jsFrameworks
    • Ruby on RailsFrameworks
    • SparkFrameworks
    • MySQLDatabases
    • s3Databases
    • redshift Databases
    • ec2Databases

Location

2601 Ocean Park Blvd Ste 104, Santa Monica, CA 90405

What are Retention Science Perks + Benefits

Retention Science Benefits Overview

We have 6 core team values to help all of us grow! We believe these are qualities we exhibit as a team, and we use them as guiding principles to help us be better each day! To learn more about our open roles visit https://www.retentionscience.com/careers/

* Inspire with passion
* Persevere with determination
* Collaborate with unity
* Grow without bounds
* Create with impact
* Lead with character

Culture
Volunteer in local community
ReSci participates in local volunteer activities such as The Giving Spirit and Heal the Bay.
Friends outside of work
Eat lunch together
Daily stand up
Open door policy
Team owned deliverables
Team based strategic planning
Group brainstorming sessions
Pair programming
Open office floor plan
Health Insurance & Wellness Benefits
Disability Insurance
Dental Benefits
Our dental plan covers 100% of expenses.
Vision Benefits
The vision benefits plan covers 100% for annual eye exams with $130 for glasses and contact lenses.
Health Insurance Benefits
We are pleased to offer 7 health plan options (including CA Blue Shield and Kaiser) with ranging coverage options and deductibles.
Life Insurance
we are able to offer several life insurance coverage options ranging from 20% to 100% times an employee's annual salary.
Wellness Programs
Retirement & Stock Options Benefits
401(K)
401(K) Matching
ReSci provides employees with a 401(k) matching plan managed by PAi. We match 100% up to 2% of employee contributions.
Company Equity
ReSci offers stock options through its employee equity program, including vesting over a four-year period.
Employee Stock Purchase Plan
We allow qualified employees to purchase company shares at a discounted price.
Child Care & Parental Leave Benefits
Flexible Work Schedule
Remote Work Program
Work remotely on occasion as needed
Company sponsored family events
ReSci sponsors family-oriented events Annually.
Vacation & Time Off Benefits
Generous PTO
ReSci employees receive 15 days per year of paid time off based on one year of service.
Paid Holidays
Paid Sick Days
Employees receive 100 hours per year of paid sick leave.
Perks & Discounts
Casual Dress
Company Outings
ReSci hosts company outings Quarterly.
Free Daily Meals
Employees get catered lunch on Tuesday, Friday.
Game Room
Our game room includes Ping Pong.
Stocked Kitchen
ReSci has a fully stocked kitchen including unlimited snacks, coffee, tea, and sparkling flavored water on-tap.
Some Meals Provided
Employees get catered lunch on Tuesday, Friday.
Happy Hours
Happy hours are hosted Once per month.
Parking
We offer employees Free on-site garage parking.
Pet Friendly
ReSci's pet policy is dog friendly daily.
Professional Development Benefits
Job Training & Conferences
ReSci offers employees professional development opportunities like Onsite training courses, The ability to attend job related conferences and seminars.
Diversity Program
Lunch and learns
ReSci hosts lunch and learn meetings once per month.
Cross functional training encouraged
Promote from within
Mentorship program
Our mentorship program includes 1-to-1 program, 1-to-many program, Cross-department program, Career mentoring, Leadership mentoring.
Time allotted for learning
Customized development tracks
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