Turing.com review by former tech entrepreneur

"I can work in the heart of Silicon Valley from the comfort of my home"

- Dhyey, Software Engineer from India

Dhyey__.webp

Dhyey, an AI/ML & Data Science enthusiast, shared his Turing.com review and said that he loves the company's close-knit culture and the opportunity to work with talented people from diverse backgrounds from across the world. He also added that now he can spend his free time on the things he enjoys such as binge-watching movies/TV shows and playing chess.

Life before Turing jobs

A software engineer based out of Rajkot, India, Dhyey specializes in various areas of Artificial Intelligence such as ML, NLP, and CV. Being an AI, data science, cloud computing, and chess enthusiast, Dhyey spends his time building cross-platform apps in React Native.

After working at Amazon Canada for a couple of years on warehouse control and demand forecasting, Dhyey decided to return home. "I wanted to work on my own startup, so I moved back to India. Unfortunately, after making some progress, the pandemic hit, and the project got derailed," he recalls.

But hardship was never going to get the better of him. "I decided to utilize my time productively and work with a firm that is making an impact in the world," he exclaims.

How did he learn about Turing US software jobs?

Dhyey came across Turing's ad during one of his determined job hunts. "The idea of working for top US companies from anywhere in the world without needing a VISA felt like a dream! I just had to sign up and check it out!" he says.

"I took their tests which were quite challenging. But that's how I knew that the work would be just as fulfilling! After 4-6 hours of tests and interviews, I got hired. Today I am working with top tech leaders from all over the world," he remarks.

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

"Life is slow and peaceful back home, Rajkot being a small city. I don't have to travel to big cities for decent tech opportunities. I'm not too fond of the commute and pollution, which drain my energy. With Turing, I can spend my free time on the things I enjoy, like playing chess and binge-watching movies and TV shows," he says.

What's his take on Turing developers?

The international exposure that comes from working at Turing is naturally appealing to talented professionals like Dhyey. "I love the company's close-knit culture and the opportunity to work with talented people from diverse backgrounds. Every day, I work and interact with the best engineering minds not just in my city or country, but from around the world," he shares.

What's the final verdict?

Enjoying his new life as a remote developer, Dhyey concludes: "I can work in the heart of Silicon Valley from the comfort of my home. With great pay and solid growth opportunities, I feel like I have the best of both worlds."

If you are a talented software developer looking to take your career to the next level, join Turing's boundaryless team today!

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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
briefcase
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.
Media & Internet
10K+ employees
PythonPython for Data ScienceMachine Learning+ 4
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