Senior Software Engineer LLM Training

Our client, a pioneering leader at the forefront of AI research and advanced system deployment, is looking for qualified Senior Software Engineers to assist in a one-time project to assist with their LLM training.

Selected candidates will be asked to complete an AI interview, followed by a coding exercise.

Candidates who successfully pass the AI interview will be paid $200.

Candidates who then pass the coding exercise will receive an additional $100.

The total compensation for passing both the AI interview and coding exercise is $300. Candidates must pass in order to receive payment.

*MUST HAVE EXPERIENCE WITH SPECIFIC COMPANIES (LISTED BELOW) AND A DEGREE FROM SPECIFIC UNIVERSITIES (LISTED BELOW).

**What You'll Do:**

* Complete 1 AI interview and 1 coding exercise. Total time spent is expected to be ~1 hour.

* Evaluate and improve large language models by creating essential training datasets.

* Curate diverse code examples and provide precise solutions across multiple programming languages.

* Refine AI-generated code to ensure optimal efficiency, scalability, and reliability.

* Collaborate closely with cross-functional teams and researchers to enhance enterprise-level AI-driven coding solutions.

* Develop sophisticated agents capable of verifying code quality and identifying complex error patterns.

* Hypothesize on critical steps within the software engineering lifecycle, from prototyping and architecture design to production implementation and operational maintenance, to evaluate model capabilities.

* Design and implement robust verification mechanisms that automatically validate solutions to complex software engineering tasks.

**Must-Have Qualifications:**

* Candidates must be based in the United States

* 5+ years of software engineering experience.

* Strong expertise in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go.

* Demonstrated experience in application development and deploying scalable, production-grade software.

* Deep understanding of software architecture, design, development, debugging, and code quality assessment.

* Excellent oral and written communication skills, capable of providing clear and structured evaluation rationales.

* Candidates must have experience as an employee working for at least one of these companies in the last seven years: Google, Alphabet, Apple, Amazon, Meta, Facebook, Netflix, Microsoft, Tesla, NVIDIA, Adobe, Salesforce, Airbnb, Dropbox, Stripe, Palantir, Uber, Lyft, Square, Block, Twilio, Snap Inc., Pinterest, GitHub, Atlassian, HashiCorp, Databricks, Snowflake, Cloudflare, DigitalOcean, MongoDB, Elastic, Confluent, Figma, Oracle, Cisco, Paypal, Doordash, Rivian, Reddit, Coinbase, Splunk, Goldman Sachs, Morgan Stanley, JPMorgan Chase, Capital One, Plaid, Shopify, Intuit, Workday, Spotify, ServiceNow, Hugging Face, VMware, Brex, Wise, Epic Games, Unity Technologies, Activision Blizzard, Riot Games, Valve, Huawei, Bloomberg, ByteDance, Alibaba, Baidu, Notion, Klarna, Instacart, Zillow, Ramp, Datadog, or IBM Research.

* Candidates must have a degree from one of the following universities to be considered for this role: Princeton University, Massachusetts Institute of Technology (MIT), Harvard University, Stanford University, Yale University, California Institute of Technology (Caltech), Duke University, Johns Hopkins University, Northwestern University, University of Pennsylvania, Cornell University, University of Chicago, Brown University. Columbia University, Dartmouth College, University of California, Los Angeles (UCLA), University of California, Berkeley (UC Berkeley), Rice University, Carnegie Mellon University, University of Michigan, Ann Arbor, Washington University in St. Louis, University of North Carolina, Chapel Hill, University of Southern California, University of California, San Diego, New York University, University of Texas, Austin, Georgia Institute of Technology, University of California, Davis, University of Illinois, Urbana-Champaign, or University of California, Irvine.

**About Skill**

Skill connects the best professional, IT, engineering, financial and administrative talent with the world's biggest brands.

Skill is an equal-opportunity employer. We evaluate qualified applicants without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

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