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 Senior Machine Learning Engineer 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.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.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, and quality code, and break an ambitious vision down into milestones and issues. We’re not here to chase state-of-the-art on established benchmarks. To ship machine learning products that make a difference for our enterprise customers and our community, you’ll need to:
Develop new machine learning tools that help developers build great conversational software, and enable them to build things that they can’t currently.
Take responsibility for feature work beyond just implementation, considering the whole product experience.
Contribute to good architectural designs, and quality code, and help break an ambitious long-term vision down into milestones and issues.
Share and learn good software practices through code reviewing with your peers.
Think lean, prototype ideas quickly ask the right questions, and move forward projects with uncertainties within the context of the team.
Mentor junior developers and help them develop great software engineering skills.
Navigate our tech stack: Python, LiteLLM, LangChain, vLLM, HuggingFace, Unsloth, Milvus, TensorFlow, Transformers, Dask, Redis, Postgres, GitHub Actions, Kubernetes among other technologies and frameworks.
Please keep in mind that we are describing the background we imagine 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!
ABOUT YOU
You take pride in teaching and learning from teammates, and enjoy constructive peer review in a respectful environment
You have a learning mindset and work on continuously developing your skills and knowledge.
You're comfortable being lean, and you fix problems without waiting for someone to tell you to
You can effectively communicate what you’re working on with your teammates and other business functions
You're able to deliver work under evolving requirements
When someone presents the results of an experiment, you ask questions that cut to the heart of the matter
Requirements
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 and experience with LLMs
Ability to think ahead and anticipate technological challenges
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 2 ML Engineers, 1 Backend Engineer, 1 QA engineer and 1 ML Tech Lead 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 core machine learning capabilities of our platform including NLU, NLG, and dialogue management, 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.
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
💡 FREQUENTLY ASKED QUESTIONS
You can find answers to FAQs from candidates about this role specifically on our
Machine Learning Engineer FAQ sheet.
ABOUT US
Rasa is a leader in generative conversational AI, enabling enterprises to build and deliver next-level AI assistants. Merging a state-of-the-art engine with a user-friendly no-code UI, Rasa offers an open and adaptable platform that perfectly aligns with business logic. This innovative approach makes Rasa a reliable and trusted choice for enterprises seeking to enhance customer interactions while reducing costs. Rasa is privately held with funding from StepStone, PayPal, Accel, Andreessen Horowitz, Basis Set Ventures, and others.
The company was founded in 2016 and is remote-first with a global presence.Rasa is an equal opportunity employer. We are still a small team and are committed to growing inclusively. We want to augment our team with talented, compassionate people irrespective of race, color, religion, national origin, sex, physical or mental disability, or age.
Please be mindful of the hiring location(s) listed.
You must be located in and a resident of the location(s) listed for us to proceed with your application.
