Staff Machine Learning Tech Lead

Your turn to start the conversation.
Write the future at Rasa.

Conversation. It’s the thread between our product and our people. The tool that enables us to forge relationships through compassion and expertise. To find the connection between our differences. It keeps us close together across borders and backgrounds and helps us create our shared vision.

Rasa means tight-knit. We get to the point and have the courage to ask ‘why?’. Because through relentless experimentation, passion, and vision, we’re transforming the way people interact with organizations through AI. 

That’s Rasa. That’s our message. 

Join us and add yours. 

SUMMARY

We’re looking for a Staff Machine Learning (ML) Tech Lead to join our Engineering team. You will build and evolve Rasa’s core Conversational AI engine, leveraging LLMs. You’ll have opportunities to lead architecture decisions as well as algorithm implementations. You’ll be collaborating with engineers in your team and across the organization. As a Staff ML Tech Lead, and you’ll report to an Engineering Manager.

Together with the team, you’ll build Rasa Pro, our Conversation AI infrastructure product, which enables Enterprise developers to build, deploy, and maintain complex AI assistants in a production environment. You’ll also contribute to Rasa Open Source, our Open Source offering.

Full-time – 100% remote – Location: The UK, Germany, or Serbia 

• This is a remote position, but we cannot hire anybody outside of the UK, Germany, or Serbia for this position. 

• Rasa can assist with work authorization (visa sponsorship) for candidates located in Germany only. 

ABOUT THIS ROLE

Software Development at Rasa is not only about writing code. Your team will need your support to come up with good architectural designs, quality code, and break an ambitious vision down into milestones and issues. In order to ship machine learning products that make a difference for our enterprise customers and our community, you’ll need to:

• Lead by example, by maintaining a significant level of individual contribution.

• Raise the engineering bar in your team in terms of velocity and quality, mentoring junior developers and help them develop great software engineering skills.

• Drive feature work beyond just implementation, taking ownership of the whole product experience.

• Develop new machine learning tools that help our customers build great conversational software, and enable them to build things that they can’t currently.

• Work closely with the product manager and our customers to prototype ideas quickly, remove uncertainties and drive projects forward.

• Navigate our tech stack: Python, Transformers, TensorFlow, Langchain, GitHub Actions, Kubernetes among other technologies and frameworks.

ABOUT YOU

• You take pride in teaching and learning from teammates, and enjoy constructive peer reviews in a respectful environment.

• You can effectively communicate what you’re working on with other business functions.

• You’re able to deliver work under evolving requirements.

• You’re able to think ahead and anticipate technological challenges.

• You are proactive and constantly seeking ways to make both the product and developer experience better, fixing problems without waiting for someone to tell you to.

• You ask the hard questions that cut to the heart of the matter.

Requirements

• 2+ years of experience as a Tech Lead

• Experience in designing and building complex machine learning systems for natural language processing applications

• Experience teaching & communicating technical material

• Advanced knowledge in Python or another programming language

• Experience fine-tuning and deploying LLMs

• Comfortable with the mathematics behind machine learning

Please keep in mind that we are describing the background that would best fit the role. Even if you don’t meet all the requirements, yet you are confident that you are up for the task, we absolutely want to get to know you!

MEET YOUR TEAM

You will join the Engine squad; a team of 3 ML Engineers and 1 Backend Engineer, hailing from various places around the world, and currently working remotely from Germany, Serbia, and the UK. You’ll partner with a Product Manager and an Engineering Manager.

This team is responsible for evolving the NLU, NLG, and dialogue management capabilities of our products, with a focus on addressing our customers’ organizational and operational complexities. The team primarily ships features in Rasa Pro and Rasa Open Source, with an impact on all our products. Our tech stack includes: Python, Transformers, LangChain, TensorFlow, GitHub actions, and Kubernetes, among other technologies and frameworks.

WHAT YOU CAN EXPECT FROM US

• Flexible hours and a dedicated remote budget

• A stipend for professional development & 6 paid education days to help you grow within your role

• 26 days of PTO + paid sick leave + paid public holidays

• A Macbook, and other tech to help you do your job

• We have regular remote team events, as well as an annual company-wide offsite

• Vitality Health (UK only) // Private Health optional (Serbia Only)

• Equity options

You can find more information about our benefits per location here: Rasa Perks & Benefits

ABOUT US

Rasa is the leader in generative conversational AI, empowering enterprises to optimize their customer service processes and reduce cost, by enabling next-level AI assistant development and operation at scale. Combining pro-code and no-code options, our platform enables cross-team collaboration for smarter and faster AI assistant building to accelerate time-to-value significantly. Our unique approach transparently leverages a LLM-native dialogue engine, that makes Rasa a reliable and innovative partner for enterprises seeking to significantly enhance their customer interactions with seamless conversational experiences. Rasa provides the data privacy, security, and scalability needed by our Fortune 500 enterprise customers. Rasa is privately held, with funding from Accel, Andreessen Horowitz, and Basis Set Ventures. www.rasa.com

Rasa is an equal opportunity employer. We are still a small team and are committed to growing in an inclusive manner. We want to augment our team with talented, compassionate people irrespective of race, color, religion, national origin, sex, physical or mental disability, or age.