Summary written by USA Jobs 24 from Sierra's advert and our data on 17,030 current US jobs. How we check every job
At a glance
Sierra is hiring a Research Engineer, Applied Research in San Francisco, CA. It is a full-time on-site role in Data, AI & Analytics, asking for at least 18 years of experience, first listed on November 1. The description mentions Salesforce and Machine learning. Sierra has 99 other openings in the US, 97 of them in San Francisco, CA. Across all employers on USA Jobs 24 there are 434 Data & AI openings in San Francisco, CA today; the typical one asks for 5 years and advertises about $235,000 a year at the midpoint.
How the pay compares
Sierra has not published pay for this job, or we could not find it in the advert. Of the 797 data & AI jobs in California on USA Jobs 24, 75% show pay, and the typical yearly midpoint among them is $229,000. That gives you a fair starting point when the subject comes up. California has a pay transparency law that requires most employers to give a pay range for jobs there, so it is reasonable to ask the recruiter for it.
Skills in this advert
How often each skill named in this advert appears across the 1,778 data & AI jobs we list today. Machine learning is the most widely requested (38% of jobs), while Salesforce is the least common (3%). Widely requested skills are what employers expect as a baseline; rarer ones show what is special about this job.
Paste your resume and this advert into our resume match tool to see which of these words your resume already covers.
Before you apply
- Check it is still open. We found this job on Sierra's Ashby site on November 1 and checked it again November 4, 5:17 AM ET. When an employer takes a job down, we remove it at our next daily update.
- Check the location works for you. This role is based in San Francisco, CA. If you would need to move, ask whether relocation help is offered.
- Match the experience. The advert asks for at least 18 years of experience. If you are a little short, a close match on the skills in the advert can still win an interview.
- Tailor your resume. Use the advert's own words, such as Salesforce and Machine learning, wherever they are true for you. Our resume guide shows how.
- Apply only through Sierra's own site. Our Apply button goes straight to Sierra's Ashby page. If anyone contacts you about this job and asks for money, gift cards or bank details, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at Sierra
Sierra has 100 openings on USA Jobs 24 today across 3 states. Most are in software & IT (40), sales & BD (18) and operations (7). The biggest locations are San Francisco, CA (98), New York, NY (62) and Atlanta, GA (32). 11% of them are remote, 5% are open to entry-level candidates and 93% show pay. We collect Sierra's jobs every day straight from its own careers system (Ashby), never from job boards or agencies.
The employer's advert
This is Sierra's own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from SierraHide the advert1,031 words
About us
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
Sierra’s Applied Research team advances the quality, speed, and cost efficiency of the models powering our agents across a wide range of tasks. Our work spans post-training open-weight models for specialized capabilities and pioneering new approaches to voice AI, turning research breakthroughs into reliable production systems.
What you’ll do
Tackle unsolved applied AI and ML problems. Pushing the boundaries of post-training, voice AI, and long-horizon task execution, building agents that can reason, adapt, and reliably carry out complex tasks for customers.
Determine when to build specialized models and when to use externally provided frontier intelligence, balancing quality, speed, and cost to deliver customer value.
Turn ambiguous product and customer problems into well-framed machine learning problems.
Develop, fine-tune, evaluate, and deploy models that improve Sierra’s customer-facing AI agents.
Advance our post-training work, from supervised fine-tuning toward reinforcement learning and long-horizon optimization.
Build rigorous evaluations that connect model performance to real-world agent quality.
Work with large-scale, proprietary datasets spanning text and audio interactions.
Collaborate across Sierra while taking ideas from experimentation through production deployment and customer impact.
What you’ll bring
Strong experience building and deploying production machine learning and AI systems. We welcome backgrounds across applied ML, including search, ranking, recommendations, advertising, language, and speech.
Excellent judgment in framing product problems as ML tasks and selecting the simplest & most effective approach.
Experience working deeply with data, experimentation, evaluation, and model iteration.
A practical, evidence-driven approach to ML, with strong judgement around when a problem calls for modeling and when a simpler solution will deliver the best outcome.
The ability to operate with high agency and work across the stack when needed to deliver an outcome.
Alignment with Sierra’s values, including Craftsmanship, Customer Obsession, and Competitive Intensity.
A degree in computer science, machine learning, or a related field, or equivalent professional experience.
Even better…
Experience with supervised fine-tuning or reinforcement learning.
Experience in search, ranking, recommendations, or advertising systems.
Experience training and deploying language, speech, or multimodal models.
Experience designing model evaluations tied to real-world product outcomes.
Experience working with large-scale consumer datasets or high-volume ML products.
Contributions to applied ML research or benchmarks.
Our values
Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
What we offer
We want our benefits to reflect our values and offer the following to full-time employees:
Flexible (unlimited) paid time off
Medical, dental, and vision benefits for you and your family
Life insurance and disability benefits
Retirement plan dependent on country of employment
Parental leave
Fertility and family building benefits through Carrot
Lunch, as well as delicious snacks and coffee to keep you energized
Discretionary benefit stipend giving people the ability to spend where it matters most
Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
Be you, with us
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
USA Jobs 24 copied this listing from Sierra's official careers site on November 1, 2026 and checked it again November 4, 5:17 AM ET. Sierra will never ask you to pay to apply or to buy equipment with a check they send you. If anyone does, it is a scam.
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