Turing.com review by ex-Facebook engineer

"The culture and experience at Turing is at par with Silicon Valley companies"

- Parv, ML Engineer from India

Parv sharing his Turing.com review

Parv, a former Facebook engineer, shared his Turing.com review in an exclusive interview with Turing Newsdesk and said that the company’s value proposition gave him access to the world’s best career opportunities. He also added that his role at Turing gave him an opportunity to interact with a diverse group of colleagues from around the world.

Life before Turing jobs

Parv is an ML engineer based out of Mumbai, India. Having studied computer science at the Georgia Institute of Technology, Parv has over eight years of experience in building platforms and production-ready machine learning and deep learning systems.

Parv’s exceptional knowledge and understanding of his subject helped him start his career with a bang. “I was with Facebook at their Silicon Valley and New York offices. I helped build a generic machine learning platform that every team uses across the company, and also worked on increasing users’ engagement with Ads,” he recalls.

“Then I moved to Instagram and created a system that would deliver a better user experience on the Hashtag pages by increasing the quality and relevancy of the images shown. I progressed rapidly from an engineer to a Tech Lead in the 5 years at Facebook.’’

After spending many years away, Parv decided to return home and spend more quality time with his family and friends. But having lived a fast life, he didn’t want to put the brakes on his career. “ I wanted to make sure that my rapid career growth continued at the same pace, despite moving out of Silicon Valley,” he says.

How did he learn about Turing US software jobs?

Being always on the lookout for relevant opportunities, Parv came across a Turing job ad on Facebook and wasted no time applying.

“Turing’s value proposition of giving me access to the world’s best career opportunities, no matter where I lived, was very compelling to me. In a few hours, I completed Turing’s tests and interviews related to Machine Learning and Data Science. Within two weeks, they offered me the position of Lead ML Engineer. I accepted,” he shares.

How has his journey with Turing.com been so far?

Since joining Turing, Parv has realised that you don't need to be away from your family to work with international industry leaders.

“Every day, I get to interact with a diverse group of colleagues from around the world and work together on products that are defining the future of work. It’s very exciting to build novel Machine Learning technologies to help solve the trillion-dollar problem of matching talent with opportunity at a global scale.”

What’s his take on Turing developers?

Being a Turing developer means you work with some of the best professionals in the world. “Working on challenging problems and collaborating with very talented colleagues from all over the world has contributed significantly to my continuous growth,’’ he mentions.

What's the final verdict?

“Having lived and worked in Silicon Valley, I can state firsthand that the culture and experience created at Turing is at par with the world’s best companies,” he concludes.

Interested in working with the best US companies while living anywhere in the world? Click here to go #Boundaryless with Turing.

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Backend Engineer (Golang / Python / GraphQL)
About the Client

Our mission is to bring community and belonging to everyone in the world. We are a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet.

About the Team

We’re looking for a skilled Senior Backend Engineer to join our GraphQL API platform team.

In this role, you’ll focus on migrating legacy Python services to Go within our GraphQL API services. Experience with GraphQL, including  GraphQL Federation and Apollo Router, is a strong plus. You'll use internal tools and processes developed by the GraphQL team to accelerate our migration from Python to Go.  We're seeking someone who thrives in a fast-paced environment, excels at solving complex problems, and  collaborates effortlessly across teams.

 

Key Responsibilities


  • Migrate and refactor existing Python logic into Golang within GraphQL API services.
  • Rapidly learn and adapt to internal tools, systems, and processes to speed up migration.
  • Collaborate closely with engineers across teams to ensure smooth delivery.
  • Debug complex issues quickly and provide clear, actionable solutions.
  • Maintain high-quality, well-tested code with thorough validation.
  • Identify and implement improvements in our migration tooling.


Qualifications for this role:

  • 5+ years of experience in backend development, ideally in a fast-moving environment.
  • Strong expertise in Golang and Python.
  • Familiarity with GraphQL APIs, GraphQL Router and Federation are a plus.
  • Excellent debugging and problem-solving skills.
  • Quick learner with the ability to pick up unfamiliar tools or systems quickly.
  • Strong collaboration and communication skills, able to work effectively in distributed teams.


Offer Details


  • Full-time contractor or full-time employment, depending on the country
  • Remote only, full-time dedication (40 hours/week)
  • 6 hours of overlap with Pacific Timezone
  • Competitive compensation package.
  • Opportunities for professional growth and career development.
  • Dynamic and inclusive work environment focused on innovation and teamwork
Media & Internet
251-10K employees
GoPythonGraphQL
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Data Scientists / ML engineer

About Turing:

Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.



Role Overview


We’re looking for a Data Scientist who has excellent hands on Python skills and Machine Learning experience  — someone who lives and breathes code, optimizes for performance, and has proven mastery on competitive programming or data challenge platforms like LeetCode, Codeforces, HackerRank, or Kaggle. In this role you will be working with Turing team members and AI researchers at Frontier Labs to devise techniques and build data sets to improve performance of models. 


What You’ll Do

  • Build, test, and optimize high-performance Python systems used in large-scale AI and data pipelines.
  • Design and maintain modular, clean, and production-ready Python codebases.
  • Collaborate with cross-functional teams (data, infra, and research engineers) to deliver reliable backend components.
  • Write efficient, maintainable, and testable code with strong focus on algorithms and data structures.
  • Stay current with modern Python tools, frameworks, ML advancements and best practices.

Required Qualifications

  • Bachelor’s or Master’s in Computer Science, Software Engineering, or a related field.
  • 4+ years of professional experience writing Python in production environments.
  • Expert-level proficiency in Python and core libraries (Pandas, NumPy, AsyncIO, Pytorch, Transformers, or similar).
  • Proven track record on coding platforms — e.g., top percentile or strong rating on LeetCode, Codeforces, HackerRank, or Kaggle competitions.
  • Experience with system design, clean architecture, and performance optimization.
  • Working level Proficiency in either Machine Learning or Data Science for Machine Learning.

Bonus

  • Recognized performance in Kaggle, Codeforces, or ICPC/TopCoder contests.
  • Deep curiosity for performance tuning, scalability, and elegant code design.

Perks of Freelancing with Turing

  • Work fully remotely, from anywhere.
  • Collaborate with world-class AI labs and frontier research companies.
  • Tackle real engineering challenges with high autonomy and ownership.

Offer Details

  • Commitment: Minimum 20 hours/week with 4-hour PST overlap (options: 20, 30, or 40 hrs/week).
  • Type: Contractor (no medical/paid leave).
  • Duration: 3 months (start date: next week).

Evaluation Process

  1. Technical Interview (60 mins): discussion of Python problem-solving, architecture, and system design.
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10K+ employees
PythonPython for Data ScienceMachine Learning+ 4
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