Remote Machine Learning scientist jobs

About the role:
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.

About Turing.com:
Turing’s mission is to unleash the world’s untapped human potential. We use AI to source, evaluate, hire, onboard, and manage engineers remotely (including the HR and compliance aspects) in a bigger platform that we call the “Talent Cloud”.

We recently achieved unicorn status with a valuation of $1.1B, after raising over $140M in financing over four rounds of funding. +00+ companies including companies like Johnson & Johnson, Pepsi, Dell, Disney +, and Coinbase have hired Turing developers.

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
- 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

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
- 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.
- Strong communication skills
- Experienced in leading large-scale multi-engineering projects
- Flexible and a positive team player with outstanding interpersonal skill

What we offer:
- Elite U.S. Jobs
- Long-term, full-time opportunities
- Flexibility to work from anywhere in the world
- Better compensation
- Career growth
- Exclusive Developer Community
- Upskilling workshops
- Career development sessions
- Networking meetups
- Referral programs

Once you join Turing, you'll never have to apply for another job!