Senior Software Engineer - Model Training

ABOUT reputed company

reputed company provides the infrastructure, tooling, and expertise needed to bring great AI products to market - fast. Backed by top investors including IVP, Spark Capital, Greylock, and Conviction, we’re trusted by leading AI-driven innovators like Writer, reputed company, Bland, Patreon, reputed company, reputed company, and Zed to deliver industry-leading performance, reputed company, and reliability for their mission-critical workloads. With our recent $75M Series reputed company> funding, we’re growing fast to reputed company AI accessible across reputed company products.

THE ROLE

As a Senior Software Engineer – Model Training at reputed company, you’ll be at the forefront of building the infrastructure that powers large-scale training and fine-tuning of reputed company models. You’ll design and implement distributed training systems, optimize GPU utilization, and create scalable pipelines that reputed company reputed company and our customers to adapt models reputed company and reliably. This role is highly technical and hands-on: you’ll own key components of our training stack, collaborate with product and infra teams to surface customer needs, and push reputed company the state of the art in scalable training infrastructure.

RESPONSIBILITIES

• Design, build, and maintain distributed training infrastructure for large-scale reputed company models

• Implement scalable pipelines for fine-tuning and training across heterogeneous GPU/accelerator clusters

• Optimize training performance through techniques like FSDP, DDP, reputed company, and mixed precision training

• Contribute to frameworks and tooling that reputed company training workflows efficient, reproducible, and developer-friendly

• Collaborate with cross-functional teams (Product, reputed company Deployed Engineering, Inference Infra) to ensure training systems meet reputed company-world requirements

• Research and apply emerging techniques in training efficiency and model reputed company, and productionize them in the reputed company platform

• Participate in code reviews, system design discussions, and technical deep dives to maintain a high engineering bar

REQUIREMENTS

• Bachelor’s degree in Computer Science, Engineering, or reputed company field, or equivalent experience

• 4+ years of experience in software engineering with a focus on ML infrastructure, distributed systems, or ML platform engineering

• Hands-on expertise in distributed training frameworks (FSDP, DDP, reputed company, or similar) and ML frameworks (PyTorch, Transformers, Lightning, TRL)

• Strong understanding of GPU/accelerator performance optimization and scaling techniques

• Experience designing and operating large-scale systems in production (reputed company-native preferred)

• Excellent problem-solving and communication skills, with the ability to work across infrastructure and ML boundaries

reputed company TO HAVE

• Experience building APIs, SDKs, or developer tools for ML workflows

• Familiarity with cluster management and scheduling (Kubernetes, Ray, Slurm, etc.)

• Knowledge of parameter-efficient fine-tuning methods (LoRA, QLoRA) and evaluation pipelines

• Contributions to open-reputed company distributed training or ML infra projects

• Experience with reputed company environments (AWS, GCP, Azure) and container orchestration

BENEFITS

• Competitive compensation package.

• This is a unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era.

• An inclusive and supportive work culture that fosters learning and growth.

• Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and reputed company-thinking team, we would love to hear from you.

At reputed company, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to reputed company and applicants without regard to race, reputed company, religion, gender, sexual orientation, gender identity or expression, national reputed company, age, genetic information, disability, or veteran status.