Boundless

Boundless provides a protocol for accessing verifiable compute across various blockchain networks, enabling rapid upgrades to zero-knowledge rollups while ensuring transparency and security in trade settlements.

Internet Software & Services

Information Technology

Founded 2005

2 open positions

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Applied AI/ML Engineer

3 weeks ago

United States

Full-time

Mid Level

Machine Learning Engineer

Software Development

Docker Kubernetes Python PyTorch Reinforcement Learning

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Boundless

Internet Software & Services

Founded 2005

View All Jobs 2

Description

Own AI features and products from prototype through production, including model selection, serving, evaluation, and iteration.
Deploy and optimize LLM inference across the GPU fleet using vLLM and SGLang.
Tune serving systems for throughput, latency, and cost using techniques such as continuous batching, KV-cache management, quantization, speculative decoding, and multi-model routing.
Build and operate reinforcement-learning and post-training pipelines using slime and Prime Intellect tooling.
Design reward functions and verifiers, orchestrate rollouts, synchronize weights, and keep long-running training jobs stable.
Build evaluation harnesses and benchmarks that measure quality, throughput, and cost together.
Use evaluation results and customer/internal feedback to drive fast iteration on products and infrastructure.
Partner with Infrastructure on GPU scheduling and fleet utilization.
Collaborate with Product on what to build next and why.

Requirements

3+ years shipping ML/AI systems to production.
Hands-on experience serving LLM inference with vLLM, SGLang, or TensorRT-LLM.
Experience with RL/post-training methods such as GRPO, PPO, DPO, or SFT, or strong adjacent experience with a clear desire to go deep.
Strong Python and PyTorch skills.
Working understanding of GPU execution, including batching, memory, and basic CUDA concepts.
Comfort operating in ambiguity with a strong bias for action.
Public GitHub profile required in the application.
At least 1 year of GitHub activity/history is required.
Direct experience with slime, prime-rl, the verifiers library, or Megatron-LM is preferred.
Distributed training experience with FSDP or TP/PP/DP parallelism is preferred.
Experience with quantization (FP8/INT8), P/D disaggregation, or speculative decoding is preferred.
Experience with verifiable inference or large-scale distributed systems is preferred.
Kubernetes and container-based deployment experience is preferred.
Familiarity with GPU fleet orchestration tools such as Ray, SkyPilot, or Slurm is preferred.

Benefits

Competitive salary of US$175k-$250k annually plus equity allocation.
Health, dental, and vision coverage for U.S. employees, with region-adjusted coverage globally.
Flexible PTO.
Professional development and conference travel budget.
Remote-first work with regular off-sites.
High-trust, high-velocity team environment.
Global hiring, with applicants from around the world welcome.

Interested in this position?

Apply directly on the company website

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