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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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Frequently Asked Questions

Machine Learning engineers benefit from the huge demand in the market. On average, an ML engineer with 3 plus years of experience earns anywhere between $15,000 to $45,000 per annum. If you are searching for a high paying ML job, visit Turing.com. At Turing, you will get a chance to join a community of the world’s best engineers and software developers.

Yes. Machine Learning is one of the top careers in terms of salary, career growth, and general demand. A deep jobs platform like Turing offers the best ML jobs at top U.S. companies. Try taking the Turing tests and work with great companies from anywhere.

It is the combination of our core business model and values that makes us different from others. We provide full-time, long-term projects to remote developers whereas most of our competitors offer more freelance jobs.

Though there are various certifications available to learn Machine Learning that covers ML basics, statistics, Python, Power BI, Open CV, NumPy, etc., the actual career starts when you land a challenging and rewarding job in Machine Learning. Visit Turing.com to fetch such jobs in Silicon Valley startups and tech giants.

We are a Palo Alto-based 'deep' jobs platform allowing talented software developers to work with top US firms from the comfort of their homes. We are led by Stanford alumni and successful A.I. entrepreneurs Jonathan Siddharth and Vijay Krishnan.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

The significant increase in AI positions in the last couple of years has made ML quite popular. Machine learning engineers are in demand as well as highly paid. Via Turing.com, you can apply for these high paying jobs and get a chance to work with Silicon Valley companies from the comfort of your home.

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

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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.

Equal Opportunity Policy

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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