Intuit · 19 hours ago
Senior Staff Machine Learning Engineer
United States
Full-time
Remote
Senior Level, Lead/Staff
$214K/yr - $290K/yr
8+ years expIntuit is seeking a Senior Staff Machine Learning Engineer to deliver end-to-end AI solutions that influence the strategic direction of machine learning and AI across the company. The role involves defining ML architecture, guiding teams, and driving execution excellence across the full ML lifecycle, while collaborating with AI scientists and product engineers to solve high-impact problems.
AccountingFinancial ServicesFinTechPaaSSoftware
Responsibilities
Lead the architectural design of complex, cross-cutting ML systems and data platforms that serve multiple Intuit products
Drive the adoption of AI-native design principles, ensuring that systems are built for adaptability, observability, and secure customer data usage
Build and scale end-to-end ML solutions using cloud-native and open-source technologies (e.g., AWS, GCP, TensorFlow, PyTorch, Ray, Spark)
Define engineering standards, model governance, and MLOps best practices across teams for training, deployment, monitoring, and continuous improvement
Evaluate and integrate transformative technologies such as foundation models, retrieval-augmented generation (RAG), and LLM fine-tuning pipelines to accelerate product innovation
Resolve deeply complex issues across domains, often requiring novel solutions or architectural evolution for long-term scalability
Deliver within large-scale strategic initiatives, identifying systemic architectural gaps and leading their resolution across multiple teams
Challenge roadmaps to achieve measurable outcomes in weeks—not months, while balancing technical risk, business priorities, and product velocity
Establish clear execution boundaries and integration contracts across teams to accelerate delivery while maintaining quality
Proactively monitor model and system performance, ensuring continuous improvement of reliability, fairness, and customer impact
Champion experimentation at scale—defining hypotheses, success metrics, and iterative validation frameworks that balance speed with rigor
Translate emerging customer behaviors and business trends into bold ML-driven solutions that redefine customer experiences across Intuit’s ecosystem
Collaborate with Product and Design to frame and validate high-risk, high-impact hypotheses through MVPs and data-driven experimentation
Lead initiatives that use customer signals, behavioral data, and competitive insights to identify unmet needs and shape Intuit’s AI roadmap
Drive the development and deployment of models that directly improve measurable customer outcomes—conversion, engagement, trust, and satisfaction
Balance rapid delivery with long-term technical sustainability, ensuring quality and performance at scale
Act as a force multiplier, raising the technical bar across multiple ML and engineering teams (typically influencing 10–35 engineers)
Mentor and develop Staff and Senior MLEs, building a strong culture of learning, quality, and execution excellence
Identify and drive resolution for cross-team bottlenecks—architectural, tooling, or communication-related—that limit productivity or scalability
Build alignment across AI, product, and infrastructure teams to accelerate delivery of strategic initiatives
Provide architectural guidance, influence design reviews, and serve as a key connector between product, data, and platform teams
Champion diversity of thought and inclusive innovation within the ML and engineering community at Intuit
Qualification
Required
BS, MS, or PhD in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience
8+ years of experience in software or ML engineering, with at least 3+ years at Staff level or equivalent leadership scope
Proven track record of architecting and delivering production-scale ML systems that impact millions of users
Expert in ML lifecycle management, feature engineering, and large-scale model deployment
Deep hands-on experience with modern ML frameworks and distributed systems (TensorFlow, PyTorch, Spark, Ray, Kubernetes, MLflow, etc.)
Experience leading cross-functional initiatives spanning multiple product or platform
Strong background in software engineering fundamentals: algorithms, distributed systems, data pipelines, and performance optimization
Excellent communication and influence skills, capable of aligning technical direction with organizational strategy
Preferred
Familiarity with LLMs, GenAI, and applied responsible AI practices is a strong plus
Benefits
Cash bonus
Equity rewards
Benefits
Company
Intuit
Intuit provides financial software solutions to empower individuals and businesses.
10001+ employees
H1B Sponsorship
Intuit has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (693)
2024 (550)
2023 (586)
2022 (842)
2021 (773)
2020 (514)
Funding
Current Stage
Public CompanyTotal Funding
$8.52BKey Investors
JP Morgan Chase
2025-01-31Post Ipo Debt· $4.5B
2023-09-12Post Ipo Debt· $4B
2011-01-19Post Ipo Equity· $6.7M
Leadership Team
Sasan Goodarzi
Chief Executive Officer
Alex Balazs
Chief Technology Officer
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