Senior Machine Learning Engineer, Rasa
+ Equity
More information about location
AI platform for virtual assistants
Open for applications
AI platform for virtual assistants
101-200 employees
Open for applications
+ Equity
More information about location
101-200 employees
Company mission
Empower the world’s largest brands to interpret people’s needs with open and extensible conversational AI.
Role
Who you are
- You take pride in teaching and learning from teammates, and enjoy constructive peer review in a respectful environment
- 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 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
- 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 TensorFlow
- Ability to think ahead and anticipate technological challenges
- Comfortable with the mathematics behind machine learning
What the job involves
- 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
- 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
- Ship machine learning products that make a difference for our enterprise customers and our community
- Lead by example and drive feature work beyond just implementation, taking ownership of the whole product experience
- Develop new machine learning tools that help developers build great conversational software, and enable them to build things that they can’t currently
- Come up with good architectural designs, and quality code, and 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: Python3, Sklearn, TensorFlow, Spacy, Transformers, Dask, Redis, RabbitMQ, Postgres, GitHub Actions, Kubernetes among other technologies and frameworks
- 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 take
Rasa is a platform for AI-led personalized conversations. There’s no shortage of competition in this market, with the likes of Google’s Dialogflow and Microsoft’s LUIS, but Rasa has taken a different approach. It moves away from the standard ’this question receives this response’ hard-coded chat bots to a system that uses AI technologies to understand what the customer is saying in context.
Rasa's open source platform has grown a large community which has helped with integrating the system into a wide range of messaging platforms, and in creating extensions to the functionality of the system. This in turn has increased its use and popularity.
While Rasa is coming under increasing pressure from a swarm of chatbot providers powered by ChatGPT and other generative AIs, Rasa has recently integrated large language models into its own platform. This, combined with its existing market lead in the conversational AI sector (with enterprises like T-Mobile and ERGO Groupusing the platform) seems likely to put it in good stead against newer competitors.
Steph
Company Specialist at Welcome to the Jungle
Insights
26% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Feb 2024
$30m
SERIES C
Jun 2020
$26m
SERIES B
Total funding: $70.1m
Company benefits
- Flexible schedules
- 1000 Euros/Dollars personal development fund & 6 paid education days to help you grow within your role
- Stock options
- A Macbook, and other tech to help you to do your job
- We are fully remote
- Vitality Health (UK Only) 🇬🇧
Company values
- We Act as One Team -- Everything is interconnected: we win together. Our team works as one, and every team member is crucial to our success
- We Are Empowered to Take Action -- Our team members are experts in thoughtful action and taking ownership. We get to the heart of every challenge, test new solutions, finish what we've started, and support each other to multiply our efforts
- We Embrace Integrity & Diversity -- Our team is inclusive and diverse. We admit to our mistakes, and with honesty and integrity, create a space that addresses challenges with empathy
- We Enable Our Customers to Delight Theirs -- Our team's hard work allows our customers to create impressive conversational AI experiences that empower millions worldwide
Company HQ
SoMa, San Francisco, CA
Articles
Leadership
Alan Nichol
(CTO)Alan holds a PhD in Computer Simulation and Machine Learning from the University of Cambridge.
Alex Weidauer
(CSO)Alex comes from a computer science background and holds a Masters degree in Management and Strategy from LSE.
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