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Senior Machine Learning Scientist
Search & Recommendations
Posted on 8/6/2022
INACTIVE
Locations
Remote
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
Data Science
Data Structures & Algorithms
C/C++/C#
Java
R
Scala
Tensorflow
Natural Language Processing (NLP)
Python
Requirements
  • Bachelor's degree (Master's or Ph.D preferred) in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) or equivalent work experience
  • 2+ years of experience researching & developing algorithms for search and/or dynamic content recommendations
  • Strong machine learning and algorithmic background with a deep understanding of advanced language models, recommendations and search systems, and advanced deep learning techniques
  • Hands-on experience using high performance machine learning libraries and/or deep learning frameworks (e.g. PyTorch, Tensorflow, RAPIDs, etc)
  • Hands-on experience building ML driven products
  • Experience leading technical research and production grade development efforts/teams
  • Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia)
  • Strong software design and implementation skills with a general-purpose programming language (e.g. Rust, Scala, C++/C#, Java, Haskell, etc)
  • Experience building scalable distributed products to implement batch, real-time, and streaming machine learning products
  • Strong functional programming development skills (preferred)
  • Ability to effectively communicate technical information to a wide spectrum of cross-functional team members
Responsibilities
  • Hands-on development of highly scalable algorithms based on state-of-the-art machine learning models to build products delivering new recommendations, search, personalization, and dynamic content decisioning capabilities
  • Leverage knowledge of software engineering principles to guide development and deployment of production machine learning solutions that can scale to millions of requests per second with millisecond latency
  • Research the latest in machine learning for emerging techniques in natural language understanding, semantic search, image recommendations, and optimal ranking
  • Actively contribute to the wider internal and external data science and machine learning communities by sharing and publishing research and findings
  • Work with cross-functional teams of engineers, scientists, and analysts, to devise implementation and experimentation strategies
  • Contribute to the development of System1's roadmap for core machine learning capabilities
System1

201-500 employees

Ad & marketing platform
Company Overview
System1's mission is to provide the most accurate and useful predictions in marketing. The company operates a Responsive Acquisition Marketing Platform to connect high intent customers with advertisers at scale.
Benefits
  • Great compensation
  • 401(k) company match
  • Excellence benefits
  • Charitable gift matching
  • Education subsidy
  • Referral bonus
  • Weekly happy hour
  • Catered lunches & free snacks
  • Weekly workouts
Company Core Values
  • System1 supports you - Whether this means providing a challenging job as part of your long-term career with us, maintaining work/life balance, or continuing your education, we want to support you and make you better.
  • Everyone is on the same team - Our co-workers are our teammates. This means respecting your teammates as much as it does enjoying working with them. We may disagree, but we do it openly and respectfully. When we win, we win together.
  • Be yourself - We believe that different backgrounds, experiences and points of view make us stronger and more innovative. We champion an environment where everyone is genuinely seen, heard and respected.
  • Own it - We don’t provide boxes for you to think in, and we encourage individual responsibility. We never blame someone else, and there is always a way to get it done. We want creative innovators who are driven to get results.
  • Make an impact - Being of service to others is in our DNA. We contribute our expertise, time and money to causes we care about in the communities in which we live and work. Giving back makes us and the world better.
  • 1% better every day - We strive to always improve every single day - our technology, our business, our community, ourselves.