Website Ultimate


Imagine a virtual customer support agent that works 24/7, speaks 109 languages, and instantly and intelligently gives customers the answers they’re looking for.

You don’t need to imagine because that’s Ultimate – the world’s most powerful virtual agent platform.

Powered by industry-leading AI, a laser-focus on customer experience and a world-class team across the globe, we’re committed to bringing joy and innovation to customer service. With customers regularly ranking us #1 on G2, it’s no wonder some of the best brands in the world have already scaled their digital support with Ultimate – from Vodafone to Finnair, Gorillas to Zalando.


At Ultimate, careers accelerate. New opportunities arise as the company is constantly evolving and our Finnish, no-ego culture means that everyone has a seat and a voice at the table. You’ll learn from some of the best and brightest minds, as well as having the opportunity to show us your brilliance and see the impact of your work. We truly offer career-defining opportunities.

With hubs in Helsinki, Berlin, New York and London, alongside our ever-growing global remote workforce, you get to choose a working environment that suits you.

And we are proudly diverse – over 35 nationalities make up our worldwide team. Our Nordic ethics have created a culture where we can all lead by example and shape the company – and industry – we want to see, together.

The Ultimate Role

We want to transform how tens of millions of people work in customer service. So, we need a team of world-class talent. As a Machine Learning Engineer at Ultimate, you’re at the heart of our ambitious growth plans. You’ll be an integral part of the Company from Day 1.

The core of your role is designing and developing our machine learning system, which drives our conversational software. You’ll be foundational in applying and iterating the latest research in machine learning, deep learning and NLP.

The goal: to build the world’s best customer service automation platform, which empowers businesses to deliver exceptional customer experiences at scale and in all languages.

You will ideate and build with our AI, product and engineering teams. You are naturally analytical and confidently develop and improve complex neural network architectures. Growth, innovation, and tough problems excite you. You are driven by deploying AI technologies to solve real world problems and keep abreast of developments in the field.


The Ultimate Responsibilities:

You’ll be part of a team responsible for maintaining and developing our core AI technologies which support millions of monthly conversations, using Python, Scipy and TensorFlow.
You’ll work closely with the AI Researchers and turn their prototypes into production-grade AI services and enhance the performance and capabilities of our core NLP.
You’ll own the full development and operations cycle of a product, whilst helping to ensure our systems are running correctly and efficiently.
You’ll use industry-proven tools such as git, and practices such as CI/CD in an agile setup.
You’ll be joining a cross-functional team. Aside from data engineers, our teams have Node.js Engineers, AI Researchers, DevOps Engineers, and Frontend Engineers.

The Ultimate Profile:

You have a quantitative or technical degree, e.g. Computer Science, Machine Learning, etc.
You have relevant experience in building large-scale machine learning or deep learning models in Python, Tensorflow (or other deep learning frameworks), and Python’s data stack (NumPy, Pandas, etc).
You have strong of experience writing robust code by using OOP principles and unit tests for live production systems and working with large datasets.
You have a great understanding of microservices architecture and experience in various Python web frameworks such as Tornado, Flask, FastAPI etc.
You have experience in using container orchestration systems (i.e Kubernetes) and machine learning workflow tools (i.e Kubeflow).
You have experience in using NoSQL databases and search engines i.e MongoDB, Elasticsearch.
You are familiar with Google Cloud tools and the services it offers.
You are a positive, pro-active team player who is passionate about their craft, is keen to take part in product discussions, and cares about helping the team deliver.
You can speak, write and express yourself in English – our company’s working language – in a professional context.

The Interview Process

We want our process to be smooth and transparent as much as possible.

1. Intro chat with our Talent Partner – 20 minutes

2. Interview with Hiring Manager – 45 minutes

3. Take home task

4. Technical Interview

5. Final Interview with Hiring Manager


Transparency is important to us, so we want to be clear about what the Ultimate opportunity means for you:

Generous PTO policy of 28 days per year.
Whether you work best from home, the office or enjoy both. Ultimate offers complete flexibility for you to work where best suits you. This includes being a fully remote employee located within +/- 2 hours of CET.
We also support Visa applications to Berlin for this role, if you would like to relocate.
We recognise that you bring your best and we show our appreciation with actions, not just words – our competitive salaries and generous stock options program ensures that our success is your success.
Company pension scheme to support you in creating a bright future, offered through a green, sustainable provider
Personal Growth Allowance for you to spend on whatever it is that makes you thrive – whether it’s a coding course, learning a new language or that pottery course that keeps on popping up on your feed, we’ve got you covered.
Team Events all year long – meat-free BBQs, stand-up paddle boarding, volleyball… you name it, we’ll organize it, plus team off-sites to unite because we’re better together.
A truly diverse team awaits you. 40% of our workforce identify as female and we come from over 35 nationalities.

Diversity & Inclusivity:

Belonging is a core pillar of our People strategy here at Ultimate, and our people (UltiMATEs) are at the centre of everything we do.

With an inspiring female co-founder and 40% of our workforce identifying as female, we are committed to ensuring diversity in our business.

We stand by our diversity hiring principles and champion our 37+ nationalities of our 130 employees.

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