
About Ema
Empowering enterprises with universal AI agents
Key Highlights
- $61M raised in seed funding to develop AI technology
- Headquartered in SoMa, San Francisco, CA
- 21-100 employees, fostering a startup environment
- Configurable AI agents designed for various enterprise roles
Ema is a San Francisco-based startup focused on developing next-generation AI technology to empower employees across enterprises. With $61 million in funding, Ema aims to create configurable AI agents that take on repetitive tasks, enhancing productivity and creativity for their users. The company s...
🎁 Benefits
Ema offers competitive salaries, equity options, flexible PTO, and a remote-friendly work policy to support work-life balance. Employees also benefit ...
🌟 Culture
Ema promotes a culture of innovation and efficiency, focusing on leveraging AI to enhance human creativity. The company values adaptability, allowing ...
Skills & Technologies
Overview
Ema is hiring a Principal Machine Learning Engineer to lead the technical direction of AI initiatives. You'll work with technologies like Python and TensorFlow to architect large-scale ML systems. This role requires significant experience in machine learning and AI.
Job Description
Who you are
You are a seasoned machine learning expert with a strong background in AI technologies — you have a proven track record of architecting and implementing large-scale ML systems that drive innovation and efficiency. With your extensive experience, you can take a vision and translate it into actionable strategies that empower teams and enhance productivity.
You possess deep expertise in machine learning frameworks and tools, particularly Python and TensorFlow — your knowledge extends to various model types, including LLMs and custom models, ensuring they are accurate and performant at scale. You thrive in collaborative environments, mentoring senior engineers and influencing company-wide strategies.
Your leadership style is characterized by accountability and an impact-driven approach — you set ambitious goals and measure success through real-world outcomes. You believe in continuous learning and knowledge sharing, fostering a culture of growth and collaboration within your team.
What you'll do
In this role, you will lead the technical direction of generative AI and agentic ML systems that power enterprise-grade AI agents — your responsibilities will span reasoning, retrieval, tool use, and integrations across various SaaS products. You will architect, design, and implement scalable ML systems that meet the needs of the enterprise.
You will collaborate closely with cross-functional teams, including research, product, infrastructure, and data — your ability to communicate complex technical concepts will be essential in aligning teams towards common goals. You will also mentor senior engineers, guiding them in their professional development and fostering a culture of innovation.
Your role will involve driving the machine learning roadmap, ensuring that the mixture of expert models is optimized for performance and accuracy — you will be responsible for overseeing the deployment of these models and ensuring they integrate seamlessly into existing workflows.
What we offer
Ema provides a dynamic work environment where innovation is at the forefront — you will have the opportunity to work alongside industry leaders and contribute to cutting-edge AI technology. We offer a hybrid work model, allowing you to balance office and remote work effectively.
You will be part of a culture that values ownership and accountability — we encourage you to take full responsibility for your work and outcomes, driving real-world impact through your contributions. Our team is committed to continuous learning and growth, providing ample opportunities for professional development.
Join us at Ema, where you can shape the future of AI technology and empower employees across enterprises to be their most creative and productive.
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