Search for Remote Senior Software Engineer roles, focusing on the New York area, requiring experience with Python or JavaScript, with specialization in evaluating open-source projects and commitment to contract roles.

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Senior Software Engineer

New York, United States

Python

JavaScript

Remote

Contract

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The role of Senior Software Engineer for LLM Evaluation and Repository Validation at Turing is fundamentally about enhancing the capabilities of large language models (LLMs) by designing and evaluating training datasets aligned with realistic software engineering challenges. This role requires a strong technical proficiency in programming languages and tools, alongside a deep understanding of high-quality public GitHub repositories—a clear indicator that the candidate will be dealing with real-world complexities in coding scenarios. The primary responsibilities include analyzing and triaging GitHub issues, configuring code repositories, evaluating test coverage, and collaborating with researchers to ensure impactful outcomes for LLMs in real-world coding problems. Success in this position will not only hinge on technical abilities but also on effective communication and teamwork, particularly when leading junior engineers and interfacing with researchers, underscoring the need for a collaborative mindset. The individual will need to navigate challenges related to coding nuances, repository variations, and evolving AI capabilities while maintaining an analytical approach to ensure high-quality data sets for AI systems, making a solid grasp of modern software development practices essential.

Company Analysis:

Turing operates at the forefront of the AI infrastructure domain, positioning itself as a rapidly growing player in a highly competitive space focused on advancing AI systems. This growth and innovation are driven by Turing's unique proposition of combining human expertise with AI capabilities, led by a team of notable technologists from elite tech companies and institutions. The company's culture appears to be dynamic, emphasizing rapid development and deployment of cutting-edge technology, which suggests a fast-paced and innovative atmosphere. Within this context, the Senior Software Engineer role will likely have significant visibility, given the company’s focus on cultivating partnerships with leading AI labs and the hands-on nature of the work involved. This role not only serves as a critical component in the validation of LLMs but aligns closely with Turing's mission to power AI solutions in real-world applications. As such, the opportunity presents itself as a strategic hire aimed at enhancing the company's transformative journey in AI development.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Describe a time when you had to troubleshoot a complex software issue. What was your approach and what was the outcome?
Can you provide an example of when you evaluated the quality of a software repository? What criteria did you use?
Tell me about a challenging project where you led a team or worked collaboratively with others. What obstacles did you face and how did you overcome them?
How would you assess the current state of an open-source project before contributing code? What key factors do you consider?
What steps would you take to triage GitHub issues for a large, popular repository? How do you prioritize your evaluations?
How would you set up a Docker environment for a new project? Can you walk us through your process?
Imagine you are tasked with increasing the evaluation dataset for an LLM. What considerations would you take into account when choosing repositories?
If an LLM fails to fix a specific bug during testing, what would your next steps be to improve its performance?
Why are you interested in working at Turing specifically, and how do you see your skills contributing to our mission?
What do you find most exciting about the intersection of AI and software development?
How do you keep current with developments in LLMs and AI technologies, and why do you think this is important?
What questions do you have about our current projects or the direction Turing is headed in the AI field?
How would you define success in a role focused on LLM evaluation, especially in relation to Turing's broader objectives?

Job Details

Overview Company

Senior Software Engineer

Turing

a day ago

Highlight

RemoteContractorSenior

Summary

Turing is seeking a Remote Senior Software Engineer - 34123 to join their team. The role involves working on LLM evaluation and repository validation projects, focusing on building verifiable software engineering tasks based on public repository histories.

About the Role

As a Senior Software Engineer, you will analyze and triage GitHub issues, set up and configure code repositories, evaluate unit test coverage and quality, and modify and run codebases locally to assess LLM performance. You will collaborate with researchers to design challenging repositories and issues for LLMs and have opportunities to lead a team of junior engineers.

About You

Required:

Strong experience with at least one of the following languages: Python, JavaScript, Java, Go, Rust, C/C++, C#, or Ruby.
Experience working with well-maintained, widely-used repositories with 500+ stars.
Proficiency with Git, Docker, and basic software pipeline setup.
Ability to understand and navigate complex codebases.
Comfortable running, modifying, and testing real-world projects locally.

Preferred:

Previous participation in LLM research or evaluation projects.
Experience building or testing developer tools or automation agents.

Benefits

Work in a fully remote environment.
Opportunity to work on cutting-edge AI projects with leading LLM companies.

Turing

Turing is one of the world’s fastest-growing AGI infrastructure 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.

Powering this growth is Turing’s talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications.

Turing—based in San Francisco, California—was named #1 on The Information’s annual list of “Top 50 Most Promising B2B Companies,” and has been profiled by Fast Company, TechCrunch, Reuters, Semafor, VentureBeat, Entrepreneur, CNBC, Forbes, and many others. Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, X, Stanford, Caltech, and MIT.

New York, NY