LLM Training Dataset and Checkpoint Optimization Engineer

About Us

Together.ai is a leader in developing AI infrastructure that powers the training of state-of-the-art models. We focus on creating scalable, efficient systems for handling massive datasets and managing large-scale distributed checkpoints, ensuring seamless workflows for training and fine-tuning AI models.

We are seeking a Training Dataset and Checkpoint Acceleration Engineer to optimize data pipelines and checkpoint mechanisms for large-scale machine learning workloads. In this role, you will work at the intersection of data engineering and distributed systems, ensuring that training workflows are highly performant, reliable, and cost-efficient.

Responsibilities

• Dataset Acceleration :

Design and optimize high-throughput data pipelines for streaming and processing massive training datasets.

Build and optimize distributed checkpoint mechanisms for large-scale training workflows.

Profile and debug bottlenecks in data pipelines and checkpoint systems.

Develop systems that scale efficiently across thousands of nodes and petabyte-scale datasets.

Work closely with ML researchers, data engineers, and infrastructure teams to understand workload requirements.

Qualifications

Must-Have :

5+ years of experience in data engineering, distributed systems, or ML infrastructure.

Expertise in high-performance data processing libraries (e.g., PyTorch DataLoader, TensorFlow Data, DALI).

Proficient in Python, C++, or Go for performance-critical systems.

Experience with I / O optimization techniques (e.g., asynchronous data loading, prefetching).

Analytical and problem-solving mindset.

Nice-to-Have :

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is : $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https : / / www.together.ai / privacy

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