Remote Senior Software EngineerTuring • Washington, DC, United States
Remote Senior Software Engineer
Turing • Washington, DC, United States
[job_card.variable_days_ago]
[job_preview.job_type]
- [job_card.full_time]
- [filters.remote]
[job_card.job_description]Several years of software engineering experience (+5 years), including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality / review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Commitment : flexible engagement, minimum 10 hrs / week, up to 40 hrs / week (partial PST overlap required) Type : Contractor (no medical / paid leave) Duration : 1 month (starting next week; potential extensions based on performance and fit) Location : Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, …)
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems.
Turing supports customers in two ways : first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.
Project Overview
What Does a Typical Day Look Like?
- Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable.
- Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
- Build agents that can verify the quality of the code and identify error patterns.
- Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them.
- Design verification mechanisms that can automatically verify a solution to a software engineering task.
Qualifications & Requirements
Note : As part of assessments you will go through an AI video interview.
After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
Know amazing talent? Refer them at turing.com / referrals, and earn money from your network.
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