Senior Machine Learning Engineer

Transform the communications world! 

We’re proud (and excited!) to be transforming the global communications landscape through our Omnichannel Platform-as-a-Service (OPaaS). 

• What’s my job title? Senior Machine Learning Engineer
• Where in the world? You can work remotely from anywhere in the European Union. Ideally in the Netherlands, Spain, Portugal or the UK. 
• Working hours? For this role, you will operate within Central European Time (CET)
• What language(s) will I speak? Fluency in English

As Senior Machine Learning Engineer you’ll be responsible for research, design, development and maintenance for both our internal and customer-facing machine learning services. You will play a vital role in translating real-life customer problems into scalable and easy-to-use solutions. You will not only throw models over the fence, but also give valuable input to designers and FE'ers how to build UX in such a way that ML is accessible for any customer.What You’ll Do

What You’ll Do

• Help research, design, develop, deploy and maintain our production machine learning services
• Curate and collect data: develop and acquire datasets representative of core customer use cases
• Grow the ML team vision by continuously sharing knowledge and staying up to date with current developments in the field
• Problem-solve issues based on business/customer needs and impact, working with technical and non-technical stakeholders.
• You will flourish working in a hyper-growth environment where the next project is ready to be picked up

What You’ll Bring

• Significant experience in deploying large-scale production grade applied machine learning systems.
• Exceptional knowledge of production-ready and modern Python.
• Experience in data collection, data cleaning, data visualisation.
• Background in Machine Learning, Data Science + Engineering or related fields.
• Knowledge in data structures, algorithm design and complexity analysis.
• Familiarity with statistics and probability, linear algebra, and optimization theory.
• Strong knowledge of TensorFlow, Pytorch, or any other ML framework.
• Experience with microservices and highly distributed cloud based systems.
• Self-sufficient with a strong sense of ownership.

#LI-AA1 #LI-REMOTE

What You’ll Gain

• Remote-friendly environment
• Generous stock options for all Birds 
• Opportunity to work abroad according to our internal policies
• Flexible working arrangements 
• Home office set-up budget 
• State-of-the-art work gear
• Contribution towards your utility costs 
• The occasional company-wide and team events
• Learn from hundreds of the best minds in the business
• Collaborate with diverse colleagues Our amazing team works in close to 40 different locations with almost 50+ nationalities across the board! 

LIFTOFF! 🚀

Life at MessageBird

We call ourselves Birds! We work fast, grow fast, build fast and focus on impact. We’re go-getters, industry leaders and roll-up-your-sleeves-and-make-it-happen kind of people. We’re smart, fast, and hungry. Our potential for growth is limitless.

Ready To Fly?

Our cloud communications solutions make it possible for over 30,000 businesses to instantly connect with billions of devices worldwide, allowing them to speak with their customers in the same ways they talk to their friends.

Wherever and however you do your best work - we’ve got you covered!

Headquartered in Amsterdam and with other global offices in Singapore, London and Maryland, we’re proud to be a remote-friendly company nested in flexibility. Employees can choose to work from one of our global offices, fully remotely in your country of employment, or a mix of the two. Our unique and united culture is rooted in our team: a diverse flock of over 550+ Birds who represent 50+ nationalities and counting. 

MessageBird is committed to fostering a fair and equal environment based on trust and mutual respect. We believe that a diverse and inclusive workplace is paramount to our success and we are committed to building a team that represents a wide variety of backgrounds, perspectives, and skills. 

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