Description

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models.

1. Overview

Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented MLOps Engineers with deep, hands-on expertise in modern ML frameworks — specifically JAX, PyTorch, and kernel-level programming (Pallas/Triton).

This is a W-2 employment position with Cincinnatus LLC, requiring a commitment of 40 hours per week (during weekdays). This position will be placed at a leading AI Lab as part of their extended workforce.

2. Key Responsibilities

• Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, training infrastructure, and ML framework-level topics.
• Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to MLOps and ML systems problems.
• Evaluate MLOps tasks and solutions and provide clear, written technical feedback.
• Develop guidelines and detailed rubrics/evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimization across tasks.
• Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

3. Core Qualifications

• 2+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering at a recognized, top-tier organization.
• Hands-on production experience with JAX and/or PyTorch at scale.
• Experience writing or optimizing custom GPU kernels using Pallas (JAX) or Triton.
• Demonstrable career progression.
• Ability to engage reliably for at least 30 hours/week during weekdays.
• Strong written communication skills and the ability to explain complex technical decisions clearly.

4. Screening

• Please apply with the link - https://t.mercor.com/xjQ2R

Description

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models.

1. Overview

Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented MLOps Engineers with deep, hands-on expertise in modern ML frameworks — specifically JAX, PyTorch, and kernel-level programming (Pallas/Triton).

This is a W-2 employment position with Cincinnatus LLC, requiring a commitment of 40 hours per week (during weekdays). This position will be placed at a leading AI Lab as part of their extended workforce.

2. Key Responsibilities

• Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, training infrastructure, and ML framework-level topics.
• Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to MLOps and ML systems problems.
• Evaluate MLOps tasks and solutions and provide clear, written technical feedback.
• Develop guidelines and detailed rubrics/evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimization across tasks.
• Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

3. Core Qualifications

• 2+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering at a recognized, top-tier organization.
• Hands-on production experience with JAX and/or PyTorch at scale.
• Experience writing or optimizing custom GPU kernels using Pallas (JAX) or Triton.
• Demonstrable career progression.
• Ability to engage reliably for at least 30 hours/week during weekdays.
• Strong written communication skills and the ability to explain complex technical decisions clearly.

4. Screening

• Please apply with the link - https://t.mercor.com/xjQ2R

Description

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models.

1. Overview

We're seeking talented Performance Engineers with deep expertise in low-level systems optimization — specifically C++, Python, and Rust — to bring hands-on technical excellence and elevate the quality of our AI training and inference infrastructure data.

This is a W-2 employment position with Cincinnatus LLC, requiring a commitment of 40 hours per week (during weekdays). This position will be placed at a leading AI Lab as part of their extended workforce.

2. Key Responsibilities

• Guide research and engineering teams to close knowledge gaps and improve AI model performance in systems-level optimization, compiler engineering, and runtime performance topics.
• Design challenging, domain-relevant tasks across multiple specializations, and write accurate and well-structured solutions to performance engineering problems.
• Evaluate performance engineering tasks and solutions and provide clear, written technical feedback.
• Develop guidelines and detailed rubrics/evaluation frameworks to assess systems design quality across AI workloads.
• Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

3. Core Qualifications

• 2+ years of dedicated professional experience in performance engineering, systems programming, or low-level optimization.
• Deep hands-on expertise in at least one of the following: C++, Python, or Rust — with working familiarity across the others being a strong plus.
• Demonstrable track record of measurable performance improvements on production systems (e.g., latency reduction, throughput gains, memory footprint optimization).
• Demonstrable career progression.
• Ability to engage reliably for at least 30 hours/week during weekdays.
• Strong written communication skills and the ability to explain complex technical decisions clearly.

4. Screening

• Please apply with the link - https://t.mercor.com/b9DQJ

Description

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models.

1. Overview

We're seeking talented Performance Engineers with deep expertise in low-level systems optimization — specifically C++, Python, and Rust — to bring hands-on technical excellence and elevate the quality of our AI training and inference infrastructure data.

This is a W-2 employment position with Cincinnatus LLC, requiring a commitment of 40 hours per week (during weekdays). This position will be placed at a leading AI Lab as part of their extended workforce.

2. Key Responsibilities

• Guide research and engineering teams to close knowledge gaps and improve AI model performance in systems-level optimization, compiler engineering, and runtime performance topics.
• Design challenging, domain-relevant tasks across multiple specializations, and write accurate and well-structured solutions to performance engineering problems.
• Evaluate performance engineering tasks and solutions and provide clear, written technical feedback.
• Develop guidelines and detailed rubrics/evaluation frameworks to assess systems design quality across AI workloads.
• Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

3. Core Qualifications

• 2+ years of dedicated professional experience in performance engineering, systems programming, or low-level optimization.
• Deep hands-on expertise in at least one of the following: C++, Python, or Rust — with working familiarity across the others being a strong plus.
• Demonstrable track record of measurable performance improvements on production systems (e.g., latency reduction, throughput gains, memory footprint optimization).
• Demonstrable career progression.
• Ability to engage reliably for at least 30 hours/week during weekdays.
• Strong written communication skills and the ability to explain complex technical decisions clearly.

4. Screening

• Please apply with the link - https://t.mercor.com/b9DQJ

Job Description

This is a remote, project-based role for software engineers with 1–3 years of professional experience. You will complete tasks spanning software development, debugging, code review, and technical implementation across a variety of stacks and applications. Work is over the next 2–3 weeks, asynchronous, and assigned on a project-by-project basis, with an expected commitment of 10–20 hours per week for the projects you accept. This position offers exceptional pay, exposure to real-world engineering problems, and a strong addition to your professional portfolio.

Why Apply

• Flexible Time Commitment – Work on your schedule while tackling meaningful engineering challenges
• Startup Exposure – Work directly with an early-stage Y Combinator-backed company (AfterQuery), gaining hands-on experience that sets you apart
• Exceptional Pay – Project-based pay ranges from $50–$100/hour
• Portfolio Building – Gain experience solving complex, real-world software engineering problems across diverse codebases
• Professional Growth – Sharpen your skills on varied, challenging development tasks spanning multiple domains and technologies

Responsibilities

• Design, implement, and ship clean, well-tested code across a variety of projects and technology stacks
• Debug, refactor, and optimize existing codebases for performance, maintainability, and scalability
• Participate in code reviews, providing and incorporating constructive technical feedback
• Collaborate asynchronously on technical specifications, architecture decisions, and implementation plans
• Document code, APIs, and technical approaches clearly and reproducibly

Required Qualifications

• 1–3 years of professional software engineering experience in a full-time or equivalent role
• Strong proficiency in at least one modern programming language and its associated ecosystem
• Demonstrated ability to independently scope, implement, and deliver software features or fixes
• Solid understanding of software engineering fundamentals including data structures, algorithms, and system design
• Bachelor's degree or higher in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience)

Preferred Qualifications

• Experience working across multiple layers of the stack — frontend, backend, APIs, or infrastructure
• Familiarity with version control workflows, CI/CD pipelines, and collaborative development practices (e.g., Git, GitHub Actions, or similar)
• Exposure to cloud platforms and deployment environments (e.g., AWS, GCP, Azure, or similar)
• Background in contributing to open source projects or building personal software projects independently

Screening

Please apply here - Application Link

Job Description

This is a remote, project-based role for software engineers with 1–3 years of professional experience. You will complete tasks spanning software development, debugging, code review, and technical implementation across a variety of stacks and applications. Work is over the next 2–3 weeks, asynchronous, and assigned on a project-by-project basis, with an expected commitment of 10–20 hours per week for the projects you accept. This position offers exceptional pay, exposure to real-world engineering problems, and a strong addition to your professional portfolio.

Why Apply

• Flexible Time Commitment – Work on your schedule while tackling meaningful engineering challenges
• Startup Exposure – Work directly with an early-stage Y Combinator-backed company (AfterQuery), gaining hands-on experience that sets you apart
• Exceptional Pay – Project-based pay ranges from $50–$100/hour
• Portfolio Building – Gain experience solving complex, real-world software engineering problems across diverse codebases
• Professional Growth – Sharpen your skills on varied, challenging development tasks spanning multiple domains and technologies

Responsibilities

• Design, implement, and ship clean, well-tested code across a variety of projects and technology stacks
• Debug, refactor, and optimize existing codebases for performance, maintainability, and scalability
• Participate in code reviews, providing and incorporating constructive technical feedback
• Collaborate asynchronously on technical specifications, architecture decisions, and implementation plans
• Document code, APIs, and technical approaches clearly and reproducibly

Required Qualifications

• 1–3 years of professional software engineering experience in a full-time or equivalent role
• Strong proficiency in at least one modern programming language and its associated ecosystem
• Demonstrated ability to independently scope, implement, and deliver software features or fixes
• Solid understanding of software engineering fundamentals including data structures, algorithms, and system design
• Bachelor's degree or higher in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience)

Preferred Qualifications

• Experience working across multiple layers of the stack — frontend, backend, APIs, or infrastructure
• Familiarity with version control workflows, CI/CD pipelines, and collaborative development practices (e.g., Git, GitHub Actions, or similar)
• Exposure to cloud platforms and deployment environments (e.g., AWS, GCP, Azure, or similar)
• Background in contributing to open source projects or building personal software projects independently

Screening

Please apply here - Application Link