Applied ML Engineer

Company: Sierra
Location: San Francisco
Posted on: June 1, 2025

Job Description:

About usAt Sierra, we're building a platform to enable every company in the world to build their own autonomous AI agents for everything from customer service to commerce. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta and London.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 Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.What you'll do

• Develop New Agent Architectures: Design, build, and ship novel agent architectures to expand their intelligence and responsiveness in real-world scenarios.
• Self-Improving Agents: Build self-improving agents using real-world interactions, customer-driven feedback and techniques including supervised fine-tuning and reinforcement learning.
• Voice & Speech: Work with the latest advances AI voice transcription, synthesis, and multimodal models to deliver lifelike conversations at low latency.
• Simulation & Benchmarking: Push our simulation platform to test AI agents against every real-world scenario imaginable. Implement and maintain analytics, experiments, and evaluation frameworks to track model quality.
• Innovation & Exploration: Stay abreast of the latest in ML research and tooling. Propose and prototype innovative ideas to push Sierra's product capabilities forward.What you'll bring
  • Strong ML Background: 8+ years of experience with applied machine learning. Deep understanding of model architectures, training pipelines, and evaluation methodologies.
  • Collaboration & Communication: Ability to work cross-functionally with researchers, product engineers, and product managers to help connect ML insights to engineering plans and customer value.
  • High Agency: Self-motivated, proactive, and resourceful. Able to identify priorities and overcome obstacles to achieve customer impact.
  • Production Experience: Demonstrated ability to deploy, optimize, and manage high-scale, robust data pipelines and production ML systems.
  • Engineering Proficiency: Solid software engineering skills. Experience with Python, Go and Typescript.Even better---
    • Experience reframing problems so they can be solved with deep learning and machine learning.
    • Expertise working with LLMs, transformer-based architectures, or other generative AI models.
    • Background in conversational AI and voice-based interfaces.
    • Leadership experience on technical projects or teams.What we offerWe want our benefits to reflect our values and offer the following to full-time employees in the United States:
      • Flexible (Unlimited) Paid Time Off
      • Medical, Dental, and Vision benefits for you and your family
      • Life Insurance and Disability Benefits
      • 401(k) Plan with Sierra match
      • 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 mostThese benefits are further detailed in Sierra's policies 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 usWe'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.
        #J-18808-Ljbffr

Keywords: Sierra, San Francisco , Applied ML Engineer, Engineering , San Francisco, California