Rockstar · 1 month ago
Forward Deployed ML Engineer
United States
Full-time
Remote
Entry, Mid Level
1+ years expRockstar is recruiting for a forward-deployed machine learning engineer role at a leading AI infrastructure company. The engineer will work directly with customers to deploy, adapt, and operate production ML systems, focusing on turning ML workflows into production-ready systems and unblocking customers facing various challenges.
Staffing & Recruiting
Responsibilities
Deploy, fine-tune, and serve ML models in production environments (text, vision, embeddings, RL-adjacent workflows)
Work hands-on with customer data, model architectures, training loops, and inference stacks
Debug performance issues across training, evaluation, latency, cost, and reliability
Adapt the platform to customer-specific workflows and constraints
Build and maintain model-serving pipelines (batch and real-time)
Optimize inference performance (throughput, latency, cost)
Help productionize evaluation, monitoring, and retraining workflows
Work across cloud infrastructure, GPUs, and ML tooling stacks
Act as the “voice of the customer” to internal product and engineering teams
Identify recurring patterns, edge cases, and gaps in the platform
Contribute to internal tooling, templates, and best practices
Qualification
Required
1–3 years of production ML engineering experience
You have deployed models that serve real users in production
You've worked on training, inference, or ML systems end-to-end
Strong fundamentals in ML engineering: data pipelines, model training, evaluation, and serving
Comfortable writing production-quality code and debugging complex systems
Extremely diligent and hardworking
This is an execution-heavy role where effort and follow-through matter
You're comfortable putting in the hours when needed to get things working
Clear communicator who can work directly with customers and internal teams
Preferred
Experience with LLMs, fine-tuning, embeddings, or RL-style workflows
Exposure to GPU workloads, distributed training, or high-throughput inference
Background in infra-heavy environments (ML platforms, data systems, dev tools)
Interest in customer-facing or forward-deployed roles
Company
Rockstar
Rockstar is rebuilding the infrastructure for employability by collapsing the cost of hiring.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase