Applied AI/ML Engineer

Job not on LinkedIn

🔥 6 minutes ago

🇺🇸 United States – Remote

💵 $175k - $250k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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This company has sponsored H1B visas in the past.

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Boundless

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2012

💼 Consulting

🛍️ eCommerce

☁️ SaaS

Consulting • eCommerce • SaaS

Boundless is a domain registration and web hosting service provider that facilitates businesses and individuals in acquiring and managing their online presence. They offer a range of domain name extensions and web hosting plans, making it easy for users to find the right fit for personal, professional, or eCommerce projects. Additionally, Boundless provides SSL certificates and support services to ensure a secure and functional online experience.

📋 Description

• Ship AI-powered products end-to-end from prototype through production • Select models, serve them, evaluate performance, and iterate • Deploy and optimize LLM inference across the GPU fleet using vLLM and SGLang • Tune continuous batching, KV-cache management, quantization, speculative decoding, and multi-model routing to maximize throughput and minimize latency and cost per token • Build and operate reinforcement-learning and post-training pipelines using slime and Prime Intellect • Design rewards and verifiers, orchestrate rollouts, synchronize weights, and maintain stable long-running training • Build evaluation harnesses and benchmarks measuring quality, throughput, and cost • Partner with Infrastructure on GPU scheduling and fleet utilization • Partner with Product on roadmap priorities

🎯 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 (GRPO, PPO, DPO, or SFT), or strong adjacent experience and a clear desire to go deep here • Strong Python and PyTorch • Working understanding of GPU execution, including batching, memory, and basic CUDA concepts • Comfort operating in ambiguity with a strong bias for action • Direct experience with slime, prime-rl, the verifiers library, or Megatron-LM preferred • Distributed training experience, including FSDP, TP/PP/DP parallelism, preferred • Quantization (FP8/INT8), P/D disaggregation, or speculative decoding preferred • Experience with verifiable inference or large-scale distributed systems preferred • Kubernetes and container-based deployment preferred • Familiarity with GPU fleet orchestration, including Ray, SkyPilot, or Slurm, preferred • Must include a public GitHub profile in the application • GitHub profile must demonstrate a minimum of 1 year of activity/history • Applications without a GitHub profile or with insufficient activity will not be considered

🏖️ Benefits

• Equity allocation • Health, dental, and vision coverage for U.S. employees; region-adjusted globally • Flexible PTO • Professional development and conference travel budget • Remote-first work arrangement • Regular off-sites • High-trust, high-velocity team environment

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