Poolside

Benefits:

• Fully remote work & flexible hours

• 37 days/year of vacation & holidays

• Health insurance allowance for you and dependents

• Company-provided equipment

• Wellbeing, always-be-learning and home office allowances; Frequent team get togethers; Great diverse & inclusive people-first culture

Experience Requirements:

• 2+ years of professional software development experience

• Experience with cloud infrastructure (AWS, Kubernetes), databases (SQL, NoSQL), and distributed systems (Spark, Kafka, gRPC) is highly desirable

Other Requirements:

• Proficiency in at least one programming language (Python, Rust, JavaScript, C/C++, Java, or Go) and a strong grasp of software development principles

• Familiarity with shell scripting (bash or zsh), and experience managing environment variables

• Experience working with large-scale systems, databases, or AI/ML pipelines is a plus

• Strong written and verbal communication skills in English

Responsibilities:

• Collaborate with the engineering team to curate and select code samples for model training, evaluation, and continuous improvement

• Provide expert solutions and corrections in programming languages such as Python, Rust, JavaScript, C/C++, Java, and Go

• Review and enhance AI-generated code to ensure it adheres to industry best practices for performance, security, scalability, and readability

• Review and enhance AI-generated reasoning for software development tasks

• Contribute to the development of tools and processes that improve the efficiency and quality of AI training data collection and generation; Develop clear, comprehensive documentation to explain advanced coding methodologies and AI-generated coding approaches; Work closely with cross-functional teams to ensure AI-powered coding solutions meet enterprise-grade performance and reliability metrics

Benefits:

• Fully remote work & flexible hours

• 37 days/year of vacation & holidays

• Health insurance allowance for you and dependents

• Company-provided equipment

• Wellbeing, always-be-learning and home office allowances; Frequent team get togethers; Great diverse & inclusive people-first culture

Experience Requirements:

• Experience with Large Language Models (LLM)

• Strong understanding and intuition of LLMs, and their limitations

• Strong engineering background

• Strong programming skills, ideally across multiple languages

• Familiar with full software development life cycle

Other Requirements:

• Good taste, and a curious mindset

• Programming experience (Linux, Strong algorithmic skills, Multiple languages, including Python)

• Strong critical thinking and ability to question code quality policies when applicable

Responsibilities:

• Research and implementation of evaluations and benchmarks; both for base models and for instruction following models

• Collaborate with both applied research and product teams to define meaningful metrics and evaluations that capture our progress on real world software development skills

• Work in a team: plan future steps, discuss, and communicate clearly with your peers

Benefits:

• Fully remote work & flexible hours

• 37 days/year of vacation & holidays

• Health insurance allowance for you and dependents

• Company-provided equipment

• Wellbeing, always-be-learning and home office allowances; Frequent team get togethers; Great diverse & inclusive people-first culture

Experience Requirements:

• Experience with Large Language Models (LLM)

• Deep knowledge of Transformers

• Strong deep learning fundamentals

• Good taste in data

• Fine-tuning experience with LLMs

Other Requirements:

• Strong machine learning and engineering background

• Research experience

• Programming experience (Linux, Strong algorithmic skills, Python with PyTorch or Jax)

• Strong critical thinking and ability to question code quality policies when applicable

Responsibilities:

• Research and experiment on ways to specialize foundational models to coding use cases

• Build and maintain data and training pipelines

• Keep up with latest research, and be familiar with state of the art in LLMs, alignment, synthetic data generation, code generation

• Design, analyze, and iterate on training/fine-tuning/data generation experiments

• Write high-quality, pragmatic code; Work as part of a team: plan future steps, discuss, and communicate clearly with your peers