Senior Software Engineer – LLM Evaluation

Project Overview

As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions.

What Does a Typical Day Look Like?

• Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go.

• Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable.

• Collaborate withcross-functionalteamsto enhance AI-drivencoding solutionsagainstindustryperformance 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.

Required Skills

• 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.

Vetting process:

1. The candidate must apply using this link

2. Next step, candidates will have a quick 20m AI interview with our AI interviewing platform QODE.

3. After that, they will need to take the Vetsmith with 1 automated coding challenge (this would take from 30 - 45m)

Top companies:

Google (Alphabet), Apple, Amazon, Meta (Facebook), Netflix, Microsoft, Tesla, NVIDIA, Adobe, Salesforce, Github, Atlassian, hashiCorp, Databricks, Snowflake, Cloudflare, DigitalOcean, MongoDB, Elastic, Confluent, Airbnb, Dropbox, Stripe, Palantir, Uber, Lyft, Square (Block), Twilio, Snap Inc., Pinterest, Figma, Oracle, Cisco, Paypal, Doordash, Rivian, Reddit, Coinbase, Splunk, Spotify, Goldman Sachs, Morgan Stanley, JP Morgan Chase, Capital One, Plaid, Shopify, Intuit, Workday, ServiceNow, Hugging Face, VMware, Brex, Wise, Epic Games, Unity Technologies, Activision Blizzard, Riot Games, Valve, Huawei, Bloomberg, ByteDance, Alibaba, Baidu, Notion, Klarna, Instacart, Zillow.