Referso Jobs

AI Safety & Reasoning Engineer (Reasoning Transparency)

Cisco · Posted Nov 13, 2026

Open

Research Triangle Park, North Carolina, United States
Full-time · Senior
$139K–$282K per year
1+ years

AI Safety & Reasoning Engineer (Reasoning Transparency)

Cisco · Posted Nov 13, 2026

Open

Research Triangle Park, North Carolina, United States
Full-time · Senior
$139K–$282K per year
1+ years

Research Engineer, Post-Training

Actively AI · Posted Nov 8, 2026

Open

New York City, New York, United States
On-site
Full-time
3+ years

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Research engineer focused on post‑training model development and alignment for sales domain intelligence.

Responsibilities

Iterate on datasets, training stages, and hyperparameters for post‑training models
Build evaluation frameworks that capture real business impact
Analyze and debug model outputs to improve understanding
Apply RLHF, RLAIF, and constitutional approaches to shape agent behavior
Measure performance scaling with data and compute and develop new methodologies

Skills

RLHF RLAIF preference modeling reward learning probability statistics ML theory dataset engineering hyperparameter tuning evaluation design

Staff/Sr. Staff/Principal AI research scientist

WRITER · Posted Nov 12, 2026

Open

San Francisco, California, United States +1 more
Hybrid
Full-time · Senior
7+ years

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Lead an independent, high-impact research agenda on large language models and agentic systems, owning projects from early hypothesis through model training, evaluation, and production deployment.

Locations (2)

San Francisco, California, United States
New York City, New York, United States

Responsibilities

Lead an independent, high-impact research agenda on large language models and agentic systems
Design and execute large-scale post-training experiments using supervised fine-tuning, reinforcement learning from human feedback, RLAIF, DPO, and emerging alignment techniques
Build novel evaluation benchmarks and methodologies
Develop scalable data synthesis and curation pipelines
Shape WRITER's model architecture and training roadmap

Requirements

Ph.D. in Computer Science, Machine Learning, NLP, or a related field

Skills

AI research scientist

WRITER · Posted Nov 12, 2026

Open

San Francisco, California, United States +1 more
Hybrid
Full-time · Senior
4+ years

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Lead high-impact AI research on large language models and agentic systems to drive enterprise AI deployments.

Locations (2)

San Francisco, California, United States
New York City, New York, United States

Responsibilities

Drive a high-impact research agenda on large language models and agentic systems
Design and execute post-training experiments using supervised fine-tuning, RLHF, RLAIF, DPO, etc.
Build novel evaluation benchmarks and methodologies for complex enterprise tasks
Develop scalable data synthesis and curation pipelines
Shape model architecture and training roadmap

Requirements

Ph.D. in Computer Science, Machine Learning, NLP, or related field

Skills

Python PyTorch

Tech Lead, AI Engineering

Bain & Company · Posted Oct 23, 2026

Open

Sao Paulo, Brazil +1 more
Full-time · Lead
10+ years

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Building Bain’s integrated suite of agentic decisioning tools that gives large organizations always-on intelligence across their most important growth decisions.

Locations (2)

Sao Paulo, Brazil
Warsaw, Mazovia, Poland

Responsibilities

Build and own core components of the Growth AI Performance System Agentic Core
Build AI applications for enterprise use cases from POCs through to scaled production deployments
Implement agentic patterns with strong judgment about when they add real value
Design and build advanced retrieval and knowledge pipelines across diverse data structures
Apply fine-tuning and parameter-efficient tuning techniques

Requirements

Associate’s degree / Bachelor’s degree in computer science, engineering, mathematics, or a related technical field
Nice to have: Azure
Nice to have: AWS

Skills

Machine Learning Engineer - Reinforcement Learning

Blue Yonder · Posted Jul 3, 2026

Open

Paris, Île-de-France, France
Mid

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ML Engineer focused on LLMs, agents, and reinforcement learning to help build the training, evaluation, and tooling systems behind robust AI decision-making products.

Responsibilities

Design and implement LLM-powered agent environments for supply chain decision-making
Fine-tune, adapt, and evaluate LLMs for domain-specific reasoning and decision support
Design, test, and iterate on reward functions that capture the behaviors we want from LLM agents
Review LLM traces and rollouts to understand model reasoning, failure modes, reward hacking, and shortcut behaviour
Identify when an LLM is exploiting the reward function, escaping the intended RL process, or optimizing for proxy metrics instead of the real objective

Requirements

Nice to have: Human-in-the-loop ML systems
Nice to have: Evaluation frameworks for open-ended tasks
Nice to have: Supply chain
Nice to have: Logistics
Nice to have: Operations

Skills

Python PyTorch RL training LLMs Reinforcement Learning

Senior Staff Machine Learning Engineer

Altana · Posted Nov 9, 2026

Open

Brooklyn, New York, United States
Hybrid
Full-time · Senior
$250K–$295K per year
10+ years

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Lead the AI behind Altana Nexus, building agentic systems for global trade risk, compliance and enforcement.

Compensation

$250,000 - $295,000 USD

Responsibilities

Drive the technical direction for agentic systems
Define the architecture and roadmap for the models and agentic systems
Build the pipeline from ingestion to decision
Lead the design of reliable, cost-efficient systems for ingestion, document understanding, entity resolution, inference and routing across models
Adapt models to trade using analyst feedback and production outcomes

Requirements

BS/MS in Computer Science, Machine Learning, or a related field
Nice to have: multi-agent systems
Nice to have: LangGraph
Nice to have: vector search
Nice to have: re-rankers

Skills

PyTorch Python Hugging Face scikit-learn NumPy Pandas

Lead, AI Engineering (m/f/d)

Bain & Company · Posted Nov 5, 2026

Open

Paris, Île-de-France, France
3+ years

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Lead AI Engineer responsible for designing, building, and shipping generative AI systems and agentic solutions for Bain’s clients.

Responsibilities

Contribute to the design, development, and deployment of end-to-end generative AI systems, including multi-agent workflows and production-grade AI applications.
Build and iterate on multi-component AI pipelines such as Retrieval-Augmented Generation, fine-tuning, embedding generation, hybrid retrieval strategies, reasoning, tool use, and orchestration across AI workflows.
Build and contribute to agentic systems, applying sound engineering principles around separation of concerns, memory architecture, and tool integration.
Contribute across the full stack: model experimentation, evaluation design, and production system deployment.
Build and maintain APIs, microservices, CI/CD pipelines, and cloud-native deployments with attention to observability and reliability.

Requirements

Nice to have: French language proficiency at C1 level or higher
Nice to have: experience mentoring peers
Nice to have: experience with ReAct, RLAIF, and other HITL + feedback loops
Nice to have: experience with hybrid or graph-based retrieval approaches

Skills

software engineering

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