Remote machine learning scientist jobs

We, at Turing, are looking for talented machine learning scientists who can help solve a range of exciting problems. We offer the best ML jobs that provide candidates a unique opportunity to make an impact by applying advanced machine learning concepts to our products.

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Job description

Job responsibilities

  • Enhance our existing machine learning systems using your core coding skills and ML knowledge
  • Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems
  • Utilize state-of-the-art ML modeling techniques to predict user interactions and the direct impact on the company’s top-line metrics
  • Enhance our existing machine learning systems using your core coding skills and ML knowledge
  • Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems
  • Utilize state-of-the-art ML modeling techniques to predict user interactions and the direct impact on the company’s top-line metrics
  • Design features and builds large scale recommendation systems to improve targeting and engagement
  • Identify new opportunities to apply machine learning to different parts of our product(s) to drive value for our customers

Minimum requirements

  • BS, MS, or Ph.D. in computer science or a relevant technical field (AI/ML preferred)
  • Extensive experience building scalable machine learning systems and data-driven products working with cross-functional teams
  • Expertise in machine learning fundamentals, applicable to search - Learning to Rank, Deep Learning, Tree-Based Models, Recommendation Systems, Relevance, and Data mining, understanding of NLP approaches like W2V or Bert
  • BS, MS, or Ph.D. in computer science or a relevant technical field (AI/ML preferred)
  • Extensive experience building scalable machine learning systems and data-driven products working with cross-functional teams
  • Expertise in machine learning fundamentals, applicable to search - Learning to Rank, Deep Learning, Tree-Based Models, Recommendation Systems, Relevance, and Data mining, understanding of NLP approaches like W2V or Bert
  • 2+ years of experience applying machine learning methods in settings like recommender systems, search, user modeling, graph representation learning, natural language processing
  • Strong understanding of neural network/deep learning, feature engineering, feature selection, optimization algorithms. Proven ability to dig deep into practical problems and choose the right ML method to solve them
  • Strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (sci-kit-learn, XGBoost, Keras/Tensorflow) tools
  • Good understanding of mathematical foundations of machine learning algorithms
  • Ability to be available for meetings and communication during Turing's "coordination hours" (Mon - Fri: 8 am to 12 pm PST)

Preferred skills

  • First author publications in ICML, ICLR, NeurIPS, KDD, SIGIR, and related conferences/journals
  • Strong performance in Kaggle competitions
  • 5+ years of industry experience or a Ph.D. with 3+ years of industry experience in applied machine learning in similar problems e.g. ranking, recommendation, ads, etc.
  • First author publications in ICML, ICLR, NeurIPS, KDD, SIGIR, and related conferences/journals
  • Strong performance in Kaggle competitions
  • 5+ years of industry experience or a Ph.D. with 3+ years of industry experience in applied machine learning in similar problems e.g. ranking, recommendation, ads, etc.
  • Strong communication skills
  • Experienced in leading large-scale multi-engineering projects
  • Flexible and a positive team player with outstanding interpersonal skill

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Leadership

In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

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Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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