Job Description
T
The D. E. Shaw Group
Immigration and Global Mobility Specialist
The D. E. Shaw Group • New York, NY, United States • via The D. E. Shaw Group
7 hours ago
Full–time
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Job description
The D. E. Shaw group seeks an experienced professional to join its Human Capital team as an Immigration and Global Mobility specialist, with a primary focus on immigration. This role will help lead the firm’s immigration strategy and operations, ensure legal compliance, advise employees, and support select global mobility initiatives—including relocations and short‑term assignments—to enable smoot...
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Open Talent
Founding AI/ML Engineer / Startup / $500k+ / NYC
Open Talent • New York, NY, United States • via LinkedIn
24 hours ago
$3.5L–$5.5L a year
Full–time
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Job highlights
Identified by Google from the original job post
Qualifications
Deploying LLM-based systems at scale (Llama, Mistral, GPT-4, Claude)
Retrieval optimisation - hybrid search (BM25 + vector), reranking, caching
Evaluation - recall@k, precision@k, groundedness, hallucination metrics
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Benefits
Up to $500,000+ base salary + equity
Hybrid in NYC
Tight-knit, high-output team
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Responsibilities
You’ll own & scale a RAG-driven AI system powering critical aerospace operations
Expect to tackle retrieval quality, latency bottlenecks, & eval-driven fine-tuning head-on for the most innovative & exciting real-time systems in Aerospace today
Own the LLM pipeline end-to-end – retrieval → evaluation → fine-tuning
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Job description
Founding AI/ML Engineer / (LLMs / RAG / Agentic Systems) / NYC / $500k+ Equity
We’re hiring for a world class team at one of the fastest growing & most innovative next-gen aerospace AI companies in North America. They're building LLMs, RAG & high-performance AI systems to power mission-critical operations in defence & space.
Only the top 0.1% of America's AI Engineers can do this. If you’ve built real mission critical LLM systems that can’t fail - this could be your next move.
The Role
You’ll own & scale a RAG-driven AI system powering critical aerospace operations. Expect to tackle retrieval quality, latency bottlenecks, & eval-driven fine-tuning head-on for the most innovative & exciting real-time systems in Aerospace today. This is full production ownership - from architecture to metrics.
You should have experience with:
• Deploying LLM-based systems at scale (Llama, Mistral, GPT-4, Claude)
• Retrieval optimisation - hybrid search (BM25 + vector), reranking, caching
• Evaluation - recall@k, precision@k, groundedness, hallucination metrics
• Fine-tuning (LoRA/QLoRA), RAG architecture, LangChain / LlamaIndex
• Tooling: Hugging Face, Weaviate/Pinecone, FastAPI, PyTorch, Redis, Postgres
• Monitoring inference, eval automation, & continuous improvement loops
Bonus:
• IoT or Hardware integration or real-time systems experience exp.
Ideal background:
• CS or Applied ML degree from a top-tier university
• Proven 0-1 experience in a fast-moving AI startup, or Defence related company
• You’ve shipped reliable GenAI systems under pressure
• Degree in Computer Science from a top-tier university
• Prior experience in high-performance teams (0-1, startups)
• You’ve shipped real systems - not demos
You’ll be expected to:
• Own the LLM pipeline end-to-end – retrieval → evaluation → fine-tuning
• Improve accuracy, grounding, and eval metrics continuously
• Make architecture decisions for scale, reliability & speed
• Collaborate directly with founders & domain experts
Stack:
Python / PyTorch / LangChain / Transformers / FastAPI / Hugging Face / Weaviate / Redis / Postgres / Docker / Kubernetes
Offer:
• Up to $500,000+ base salary + equity
• Hybrid in NYC
• Tight-knit, high-output team
• High ownership, real impact, flat structure
