About the Role

Lead AI Engineer role in OutSystems' AI Research & Solutions Group, building and training production ML models and agent systems. Work hands-on at least 3 days a week in Menlo Park, leading development of enterprise AI agents that reason, act, and recover across long-horizon workflows.

Responsibilities

Own full pipeline: architecture design, dataset engineering, distributed training, production deployment
Implement state-of-the-art techniques from papers, translating math into working PyTorch code
Build experimentation infrastructure for rapid iteration on architectures and training regimes
Create orchestration loops for AI to reason across multi-file changes, invoke tools, and recover from failures
Implement RL for code generation with execution-based rewards, process supervision, and alignment
Optimize inference via quantization, distillation, pruning, and serving infrastructure
Design evaluation pipelines, guardrails, and monitoring for production AI systems
Define integration architecture including APIs, batching, caching, and failure handling
Mentor engineers on ML fundamentals and debugging techniques

Requirements

5+ years building AI that shipped, from architecture design through deployment
Deep ML fundamentals: backprop, attention, loss functions, optimization
Expert Python, PyTorch fluency, distributed training, GPU programming, ML infrastructure at scale
Dataset intuition: ability to spot data issues from model behavior
Agent architecture experience: agentic loops, tool-calling, multi-step reasoning pipelines

Nice to Have

Implemented papers from scratch before official code existed
Built custom training infrastructure and experimentation pipelines
Worked on LLMs, diffusion models, or frontier architectures at low level
Built RL training pipelines with non-standard rewards (execution-based, verification, process rewards)
Implemented code retrieval systems: RAG for code, AST-aware search, repository-level indexing
Worked on SWE-Bench or similar coding agent benchmarks
Open-source ML contributions or published implementations

Tech Stack

PythonLLMRAGPyTorchReinforcement LearningGPUDistributed Training

Hirevector

Phoenix · US · 200+ employees

Hirevector is a professional services and recruitment firm that provides an AI-powered technical interview intelligence platform. The company focuses on standardizing the hiring process through conversational, AI-driven assessments to ensure fairness, reduce bias, and improve candidate evaluation.

Senior Computer Vision and Machine Learning Research Scientist

Out in Science, Technology, Engineering, and Mathematics

SEATTLE · US

$160K–$234K

SEATTLE · US

$160K–$234K

Lead AI Researcher

About the Role

Responsibilities

Requirements

Nice to Have

Tech Stack

Hirevector

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Lead Machine Learning Engineer - Remote (US) or CA - Only W2

Lead Machine Learning Engineer - Remote (US) or CA - Only W2

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