Machine Learning Engineer - Graph ML & Code Intelligence
Job Type: Permanent - Full Time Remote
Location: Denver, Co
Job Category: Information Technology
IR Labs is the innovation lab inside Integrated Research where small, cross‑functional squads chase outsized, industry‑defining opportunities. We operate like a funded startup—rapid sprints, bold experimentation, zero bureaucracy—backed by the global footprint and resources of a public company. Our charter is simple: turn cutting‑edge AI research into products that customers can’t imagine working without. We target the hardest problems in software and then move fast to ship solutions that create 10x impact. If you thrive on autonomy, crave world‑class technical challenges, and want to see your ideas hit production quickly, IR Labs is your launch pad. Join us and help build the future—one breakthrough at a time.
Job Description
What You’ll Do
· Own the graph-ML roadmap end-to-end—turn research into production, balance SOTA with real-world constraints, and champion graph learning across teams.
· Design and train modern GNNs/graph transformers; explore self-supervision, sparsity, and pretraining to lift retrieval, grounding, and reasoning.
· Build high-performance training/inference pipelines on distributed GPUs with efficient sampling, mixed precision, and custom optimization where needed.
· Fuse graphs with language systems to power retrieval and reasoning primitives across the product.
· Model complex technical artifacts as graphs (e.g., code/IR or telemetry) and learn over them for analysis and optimization signals.
· Ship low-latency, scalable graph services and APIs with streaming updates and robust SLAs.
· Benchmark and harden sparse+dense kernels; instrument for performance, correctness, and reliability.
· Establish ML/DataOps for large graphs (versioning, lineage, CI/CD) and embed security, privacy, and compliance by design; mentor and uplevel the team.
· Desired Skills and Experience
What You Bring to the Table
· 8+ years delivering production ML; 5+ years leading large-scale graph learning in production (100M–B+ edges).
· Deep mastery of GNNs/geometric DL, graph theory, and practical graph querying.
· Proven impact combining graphs with LLM/NLP (e.g., KG-augmented retrieval, entity linking, grounding).
· Experience deriving graphs from complex sources (such as code/IR) for analysis, optimization, or security use cases.
· Strong systems chops: C++/CUDA or equivalent; fluency in GPU/distributed training and performance tuning.
· Track record building reliable pipelines and operating large data/feature stores for graph workloads.
· Operational excellence in orchestration, containerization, observability, drift detection, and automated retraining.
· Clear, persuasive technical leadership and mentoring across both technical and non-technical stakeholders.
· Our job descriptions often reflect our ideal candidate. If you have a strong foundation of relevant skills and a passion for this field, we encourage you to apply, even if you don''t check every box.
What We Offer
· High Impact – Ship real features in weeks, not quarters
· Cutting-Edge Tech – Work to solve problems no one has cracked before.
· Remote & Flexible – Work from anywhere with a culture built on trust, autonomy, and balance.
· Growth & Ownership – Own features end-to-end, learn rapidly, and grow with the company as we scale.
· Top-Tier Compensation – Competitive salary, performance bonuses, equity upside, and strong benefits.
· Team & Culture – Small, senior team that values collaboration, creativity, and building something meaningful together.
· Medical, Dental, Vision Insurance.
· 401k with Employer Contributions.
· Paid Time Off & Birthday Leave.
· Health Savings Account (HSA) Contributions with High Deductible Health Plan.
· Short-Term/Long-Term Disability Insurance.
· And more!
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