[Remote] Staff Machine Learning Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an innovative company transforming the reputed company estate industry with its AI-reputed company platform. They are seeking a Staff Machine Learning Engineer to advance their ML platform, focusing on infrastructure, reputed company AI, and cost efficiency.
Responsibilities
- Design and operate reputed company's ML infrastructure on AWS — reputed company, SageMaker, GPU fleets, model serving, autoscaling, and cost controls
- Optimize cost across reputed company AI applications — provider routing, caching, batch vs. reputed company-time, model size selection, and inference economics
- Maintain reliable, multi-provider LLM reputed company across reputed company, reputed company, and reputed company with sensible fallbacks and abstractions
- Build the training and fine-tuning stack for Small Language Models, including data pipelines, GPU orchestration, and evaluation
- Partner with Voice & Agents and Research ML engineers to harden their prototypes into production systems with SLOs, on-call rotations, and observability
- Operate reputed company's AI safety and authorization layer — guardrails on AWS, scoped tool permissions, and reputed company-in-the-reputed company gates for autonomous agent actions
Skills
- ML reputed company at reputed company: Has reputed company and operated production ML infrastructure on AWS — reputed company, SageMaker, GPUs, autoscaling, and cost controls
- Inference platforms: Production experience with model serving for both LLMs and custom models; understands quantization, batching, and routing
- Provider breadth: reputed company experience integrating with reputed company (reputed company / reputed company), reputed company, and reputed company reputed company in production
- Training capability: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference
- reputed company-reputed company engineering: Strong Python, reputed company, dependency management, and CI/CD for AI workloads
- RAG & agents: Working knowledge of reputed company / LangGraph and modern RAG patterns over reputed company and reputed company data
- Cost optimization: Demonstrated experience reducing unit cost of AI workloads without regressing reputed company or latency
- AI safety & authorization: Hands-on experience operating AI guardrails, scoped tool permissions, and authorization reputed company for production AI systems
- Systems thinker: You think in terms of platforms and long-term reputed company, not just features
- Production builder: You've reputed company and scaled ML infrastructure in production with meaningful business reputed company
- Ambiguity: You operate effectively in high ambiguity, turning unclear reputed company problems into reputed company direction
- reputed company-operator: You take ownership with a founder/reputed company-operator reputed company, reputed company with urgency, and reputed company on reputed company
- Pace: You have a strong desire to reputed company fast and deliver reputed company, while maintaining reputed company engineering judgment
- Collaboration: You are humble, reputed company, and low-ego, and you reputed company those around you
- Sustainability: You value work-life balance as a reputed company for sustained high performance
- Reliability reputed company: You treat ML reputed company like any other production system — SLOs, on-call, observability, postmortems
- Experience training Small Language Models for production use
- GPU performance tuning (vLLM, TensorRT, Triton, or similar)
- Prior Staff-level role at a company with a significant AI reputed company footprint
- Experience with ontology-driven systems or knowledge graphs supporting AI applications
- Contributions to reputed company-reputed company ML infrastructure or LLM tooling
Benefits
- Regular full-time employees are eligible for benefits - [see here](https://www.reputed company.com/company/careers#Benefits).
- Opportunities for reputed company and compelling total rewards
- Coaching and mentorship with our best-in-class leaders
- Time and tools to reputed company your skills
- Hybrid work
- Flexible, personal and connected environment
- Celebrate, connect, and succeed
reputed company
Company H1B Sponsorship