Why This Job is Featured on The SaaS Jobs
This Machine Learning Engineer role sits squarely in the current wave of enterprise SaaS adopting LLMs beyond chat interfaces and into workflow automation. The focus on AI assistants and autonomous agents signals product work where model behavior must translate into reliable, auditable outcomes inside business systems, a central challenge for SaaS vendors serving knowledge workers.
From a SaaS career perspective, the remit spans the full loop from applied research through production engineering. Building agentic frameworks, orchestration, and evaluation for complex tasks develops skills that remain portable across modern SaaS teams shipping AI features, including latency and inference optimization, domain adaptation, and reinforcement learning approaches tied to measurable product quality. The emphasis on benchmarking and optimization loops also reflects how SaaS organizations operationalize ML through continuous iteration in live environments.
This position is best suited to senior individual contributors who enjoy ambiguity at the boundary of research and product delivery, and who take ownership of end to end system design. It will fit engineers motivated by customer problem decomposition and cross functional collaboration, particularly those interested in raising technical standards through mentorship and strategy alongside hands on building.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About the Role:
Glean is looking for senior engineers who will provide expert-level individual contributions and thought leadership to help us build the next generation of intelligent enterprise AI assistants and autonomous AI agents. We are reimagining how LLMs and agents can reason, plan, and act to solve complex, multi-step enterprise workflows. You will work at the intersection of applied research and production engineering in areas such as agentic frameworks, LLM orchestration, low latency LLM inference and optimization, domain adapted and memory augmented LLMs, reinforcement learning, building evaluation frameworks for complex enterprise tasks. We work closely with our customers, deeply understand their pain points, and use the right mix of research-driven and pragmatic engineering approaches to solve them.
You will:
- Build frameworks for LLM-powered agents to use tools and knowledge sources effectively
- Invent new agentic architectures and signals to improve reasoning, planning, and personalization in workplace AI assistants
- Design and optimize reinforcement learning and fine-tuning approaches to improve the quality of agentic systems
- Lead development of scalable evaluation, benchmarking, and optimization loops for agents in production
- Drive technical strategy and mentor other engineers, raising the technical bar across the team
- Write robust, maintainable, and well-tested code that powers enterprise-grade assistants and agents
About you:
- 2+ years as a Staff Engineer, Principal Engineer, or equivalent
- 5+ years of industry experience in AI or Machine Learning Engineering
- Experience working with agentic frameworks, reinforcement learning, natural language processing, or other large systems involving machine learning
- Proven ability to design, build, and ship production-ready systems
- Proficiency in your ML framework of choice
- Strong coding skills (Python, Go, Java, C++, ...)
- Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company
- A proactive and positive attitude to lead, learn, troubleshoot, and take ownership of both small tasks and large features
Location:
- This role is hybrid (3-4 days a week in one of our SF Bay Area offices)
Compensation & Benefits:
The standard base salary range for this position is $240,000 - $300,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
#LI-HYBRID
