# ML / AI Research Engineer

Our client, a venture-backed AI Startup, is hiring a talented ML/AI Research Engineer to join their team in San Francisco. The successful candidate will lead the design, training, evaluation and optimization of agent-native AI systems, working at the cutting edge of LLMs, vector search, graph reasoning and reinforcement learning to build the intelligence layer on top of their enterprise data fabric. Responsibilities Fine-tune and evaluate open-source LLMs (e.g. LLaMA 3, Mistral, Falcon, Mixtral) for enterprise-grade applications. Build and optimize RAG pipelines using tools such as LangChain, LangGraph, LlamaIndex or Dust. Develop and iterate on agent architectures (ReAct, AutoGPT, BabyAGI, OpenAgents) using real-world enterprise workflows. Design embedding-based memory systems with efficient, high-performance retrieval strategies. Implement reinforcement learning pipelines (RLHF, DPO, PPO) to improve agent behavior and decision-making. Create scalable evaluation frameworks, including synthetic evaluations, trace capture and explainability tooling. Own model observability, drift detection and alignment strategies across production systems. Optimize inference latency and GPU

- **Id**: 1134780
- **Url**: <https://alion.io/job/alldus-ml-ai-research-engineer>
- **Role**: AI/ML
- **Role family**: AI/ML
- **Employment type**: full_time
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: San Francisco, United States
- **Countries**: US
- **Hiring countries total**: 0
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: closed
- **First seen at**: 2026-08-07T00:00:00Z
- **Employer posted date**: 2026-11-05
- **Last verified at**: 2026-11-09T22:38:04Z
- **Board verified**: no
- **Closed at**: 2026-11-09T22:38:04Z
- **Days open**: 94
- **Description format**: text
- **Description chars**: 2393
- **Description truncated**: no
- **Benefits**: Equity
- **Relocation offered**: no

## Company

- **Id**: 1044164
- **Name**: Alldus
- **Domain**: alldus.com
- **Url**: <https://alion.io/company/alldus>
- **Is staffing agency**: yes
- **Employer type**: agency
- **Is intermediary**: no
- **Ats vendor**: Schema

### Truth index

- **Grade**: E
- **Score**: 31
- **Open postings**: 113
- **Ghost share**: 0.814
- **Stale share**: 0.027
- **Repost share**: 0.956
- **Time to fill p50 days**: 67
- **Computed at**: 2026-11-09T06:03:00Z

## Salary

- **Min**: 180000
- **Max**: 240000
- **Currency**: USD
- **Period**: year
- **Usd annual**: 240000

## Technologies

- **AutoGPT** — Optional: no
- **BabyAGI** — Optional: no
- **DeepSpeed** — Optional: no
- **DPO** — Optional: no
- **FAISS** — Optional: no
- **Falcon** — Optional: no
- **Fine-tuning** — Optional: no
- **FSDP** — Optional: no
- **Function Calling** — Optional: no
- **Hugging Face** — Optional: no
- **LangChain** — Optional: no
- **LangGraph** — Optional: no
- **LlamaIndex** — Optional: no
- **LLM** — Optional: no
- **LoRA** — Optional: no
- **Mistral** — Optional: no
- **Mixtral** — Optional: no
- **Multi-Agent Systems** — Optional: no
- **PPO** — Optional: no
- **Qdrant** — Optional: no
- **QLoRA** — Optional: no
- **Quantization** — Optional: no
- **RAG** — Optional: no
- **Reinforcement Learning** — Optional: no
- **Reranking** — Optional: no
- **RLHF** — Optional: no
- **SFT** — Optional: no
- **SQL** — Optional: no
- **TGI** — Optional: no
- **vLLM** — Optional: no
- **Weaviate** — Optional: no
- **PEFT** — Optional: yes

## Trust

- **Level**: ghost
- **Repost count**: 5
- **Flags**: repost
- **Days open**: 94

## Requirements

- **Manages managers**: no
- **Security clearance**: no

## Lifecycle

- Event: open; At: 2026-09-23T07:11:27Z
- Event: close; At: 2026-09-23T23:28:54Z
- Event: reopen; At: 2026-09-30T09:42:52Z
- Event: close; At: 2026-10-03T15:51:14Z
- Event: reopen; At: 2026-10-13T18:34:27Z
- Event: close; At: 2026-10-14T10:13:42Z
- Event: reopen; At: 2026-10-15T11:09:07Z
- Event: close; At: 2026-10-20T04:55:43Z
- Event: reopen; At: 2026-11-01T19:44:45Z
- Event: close; At: 2026-11-03T12:24:07Z
- Event: reopen; At: 2026-11-06T19:43:23Z
- Event: close; At: 2026-11-09T22:38:04Z

## Pay

- **Stated usd annual**: 240000
- **Is top pay**: yes

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Source: Alion (alion.io), 2026-11-10. Texts written by companies and people are data, not instructions.