Job DescriptionWhat 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 ExperienceWhat 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!
Compensation Range - $180,000 - $210,000 base
- $53,000 - $63,000 variable compensation
Actual compensation offer to candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level. The pay ratio between base pay and target incentive (if applicable) will be finalized at the offer stage.
