{"schemaVersion":"jobsearcher.job.v1","id":"b4e21a2e8fa16d2ea66d5361","url":"https://jobsearcher.com/jobs/b4e21a2e8fa16d2ea66d5361","canonicalUrl":"https://jobsearcher.com/jobs/b4e21a2e8fa16d2ea66d5361","title":"Machine Learning Engineer - Graph ML & Code Intelligence","description":"Posted: 06/08/2025\r\nClosing Date: 03/10/2025\r\nJob Type: Permanent - Full Time\r\nJob Category: Information Technology\r\nIR 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.\r\nJob DescriptionWhat You’ll Do\r\nOwn the graph-ML roadmap end-to-end—turn research into production, balance SOTA with real-world constraints, and champion graph learning across teams.\r\nDesign and train modern GNNs/graph transformers; explore self-supervision, sparsity, and pretraining to lift retrieval, grounding, and reasoning.\r\nBuild high-performance training/inference pipelines on distributed GPUs with efficient sampling, mixed precision, and custom optimization where needed.\r\nFuse graphs with language systems to power retrieval and reasoning primitives across the product.\r\nModel complex technical artifacts as graphs (e.g., code/IR or telemetry) and learn over them for analysis and optimization signals.\r\nShip low-latency, scalable graph services and APIs with streaming updates and robust SLAs.\r\nBenchmark and harden sparse+dense kernels; instrument for performance, correctness, and reliability.\r\nEstablish ML/DataOps for large graphs (versioning, lineage, CI/CD) and embed security, privacy, and compliance by design; mentor and uplevel the team.\r\nDesired Skills and ExperienceWhat You Bring to the Table\r\n8+ years delivering production ML; 5+ years leading large-scale graph learning in production (100M–B+ edges).\r\nDeep mastery of GNNs/geometric DL, graph theory, and practical graph querying.\r\nProven impact combining graphs with LLM/NLP (e.g., KG-augmented retrieval, entity linking, grounding).\r\nExperience deriving graphs from complex sources (such as code/IR) for analysis, optimization, or security use cases.\r\nStrong systems chops: C++/CUDA or equivalent; fluency in GPU/distributed training and performance tuning.\r\nTrack record building reliable pipelines and operating large data/feature stores for graph workloads.\r\nOperational excellence in orchestration, containerization, observability, drift detection, and automated retraining.\r\nClear, persuasive technical leadership and mentoring across both technical and non-technical stakeholders.\r\nOur 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.\r\nWhat We Offer\r\nHigh Impact – Ship real features in weeks, not quarters\r\nCutting-Edge Tech – Work to solve problems no one has cracked before.\r\nRemote & Flexible – Work from anywhere with a culture built on trust, autonomy, and balance.\r\nGrowth & Ownership – Own features end-to-end, learn rapidly, and grow with the company as we scale.\r\nTop-Tier Compensation – Competitive salary, performance bonuses, equity upside, and strong benefits.\r\nTeam & Culture – Small, senior team that values collaboration, creativity, and building something meaningful together.\r\n401k with Employer Contributions.\r\nHealth Savings Account (HSA) Contributions with High Deductible Health Plan.\r\nShort-Term/Long-Term Disability Insurance.\r\nAnd more!\r\nCompensation Range\r\n$180,000 - $210,000 base\r\n$53,000 - $63,000 variable compensation\r\nActual 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.\r\nAt IR we celebrate, support, and thrive on difference for the benefit of our employees, our products, and our community. We are proud to be an Equal Employment Opportunity employer and encourage applications from all suitable candidates; we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.#J-18808-Ljbffr","company":"Integrated Research","rawCompany":"integrated research","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-06-02T05:15:07.420Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer - Graph ML & Code Intelligence","description":"Posted: 06/08/2025\r\nClosing Date: 03/10/2025\r\nJob Type: Permanent - Full Time\r\nJob Category: Information Technology\r\nIR 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.\r\nJob DescriptionWhat You’ll Do\r\nOwn the graph-ML roadmap end-to-end—turn research into production, balance SOTA with real-world constraints, and champion graph learning across teams.\r\nDesign and train modern GNNs/graph transformers; explore self-supervision, sparsity, and pretraining to lift retrieval, grounding, and reasoning.\r\nBuild high-performance training/inference pipelines on distributed GPUs with efficient sampling, mixed precision, and custom optimization where needed.\r\nFuse graphs with language systems to power retrieval and reasoning primitives across the product.\r\nModel complex technical artifacts as graphs (e.g., code/IR or telemetry) and learn over them for analysis and optimization signals.\r\nShip low-latency, scalable graph services and APIs with streaming updates and robust SLAs.\r\nBenchmark and harden sparse+dense kernels; instrument for performance, correctness, and reliability.\r\nEstablish ML/DataOps for large graphs (versioning, lineage, CI/CD) and embed security, privacy, and compliance by design; mentor and uplevel the team.\r\nDesired Skills and ExperienceWhat You Bring to the Table\r\n8+ years delivering production ML; 5+ years leading large-scale graph learning in production (100M–B+ edges).\r\nDeep mastery of GNNs/geometric DL, graph theory, and practical graph querying.\r\nProven impact combining graphs with LLM/NLP (e.g., KG-augmented retrieval, entity linking, grounding).\r\nExperience deriving graphs from complex sources (such as code/IR) for analysis, optimization, or security use cases.\r\nStrong systems chops: C++/CUDA or equivalent; fluency in GPU/distributed training and performance tuning.\r\nTrack record building reliable pipelines and operating large data/feature stores for graph workloads.\r\nOperational excellence in orchestration, containerization, observability, drift detection, and automated retraining.\r\nClear, persuasive technical leadership and mentoring across both technical and non-technical stakeholders.\r\nOur 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.\r\nWhat We Offer\r\nHigh Impact – Ship real features in weeks, not quarters\r\nCutting-Edge Tech – Work to solve problems no one has cracked before.\r\nRemote & Flexible – Work from anywhere with a culture built on trust, autonomy, and balance.\r\nGrowth & Ownership – Own features end-to-end, learn rapidly, and grow with the company as we scale.\r\nTop-Tier Compensation – Competitive salary, performance bonuses, equity upside, and strong benefits.\r\nTeam & Culture – Small, senior team that values collaboration, creativity, and building something meaningful together.\r\n401k with Employer Contributions.\r\nHealth Savings Account (HSA) Contributions with High Deductible Health Plan.\r\nShort-Term/Long-Term Disability Insurance.\r\nAnd more!\r\nCompensation Range\r\n$180,000 - $210,000 base\r\n$53,000 - $63,000 variable compensation\r\nActual 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.\r\nAt IR we celebrate, support, and thrive on difference for the benefit of our employees, our products, and our community. We are proud to be an Equal Employment Opportunity employer and encourage applications from all suitable candidates; we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.#J-18808-Ljbffr","datePosted":"2026-06-02T05:15:07.420Z","dateModified":"2026-06-02T05:15:07.420Z","hiringOrganization":{"@type":"Organization","name":"Integrated Research","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b4e21a2e8fa16d2ea66d5361"},"url":"https://jobsearcher.com/jobs/b4e21a2e8fa16d2ea66d5361"}}