Senior AI/ML Engineer

In this role, you will be working together with the existing team on shaping both existing and future apps/services.
Senior AI/ML Engineer

Who are we

We are a team of 40+ people (Engineers, Designers, Product Owners, Project Managers, System Architects & more) working with Philips Domestic Appliances and their digital products. Our goal is to simplify the everyday life of Philips’ customers by creating user friendly apps and products.

We work in multiple cross-functional agile teams, developing backend platform and mobile apps. One of the apps we are developing is Philips NutriU, feel free to check it out and find your favorite recipe!

Who are we
looking for?

Qualifications
& Experience
  • bachelor’s or master’s degree in computer science or related field 
  • proven experience as a senior software engineer, developing (micro)services in the cloud
  • extensive machine learning domain knowledge (bias-variance tradeoff, exploration/exploitation) and understanding of various models
  • knowledge in selected programming languages (Python, Java, JavaScript) and one deep learning framework (e.g., MXNet, Tensor Flow)
  • experience with streaming processing technologies
  • experience with distributed storage and database systems, including SQL and NoSQL
  • infrastructure and software design and requirement analysis
  • solid knowledge of connectivity technologies, mainly Bluetooth and Wi-Fi
  • an interest and preferably working experience in agile development methodologies (Scrum, Kanban)
  • structured way of working
  • analytical mind and problem-solving attitude
  • ability to work independently
  • open for new ideas and new options
  • excellent communication skills
  • fluency in English
Your
responsibilities
  • developing high-quality software design and architecture
  • identifying, prioritizing, and executing development tasks
  • automating tasks through appropriate tools and scripting
  • reviewing and debugging code
  • collaborating with internal teams and vendors to fix and improve products
  • documenting your work
  • supporting technology adoption and integration into flagship products
  • work closely with the product team to research and develop ways for improving user experience utilizing data and machine learning concepts
  • develop, evaluate, document, and deploy trained models and machine learning algorithms into production, and monitor performance
  • recommend and develop solutions that will create or update existing product features, increase scalability, and eliminate technical debt

Tools we use

Slack
We use Slack for work and for fun. It’s our go-to tool for maintaining sanity both in office and remote.
Productive
We use Productive for time tracking, budgeting, and project management. It helps us to have all the information in one place.
Jira
On some projects, we also use Jira for product development/task management.
Python
We use Python to write scripts that help us extract, transform and load the data.
TensorFlow
Our end-to-end open-source machine learning platform of choice.
Java
Most of our backend systems are implemented in Java so that Java knowledge can come in handy.

What can you
expect from us?

We offer a number of benefits, high-quality tools,
bad jokes, and a stimulating work environment.

01
Professional development
Learning & development
We believe that honest two-way feedback is the foundation of growth. In our bi-weekly one-on-one talks and quarterly 360 reviews, we discuss what’s good and what could be better.
Versatile projects
Our teams get to work on very interesting projects for renowned brands and clients from a range of industries, some of which we can’t namedrop due to NDAs.
Educational budget
If you’re eager to learn, we’re eager to help. Every employee receives an educational budget to buy books, attend courses or visit conferences.
Contributing to open source
Sharing is caring doesn’t only apply to chocolate. Our way of giving back to the community is publishing open-source libraries and resources.
Paid language courses
Paid language courses help our employees master the English language, in addition to being fluent in their programming languages.
Doing a career switch
We don’t have a sorting hat to tell you where you belong, but we will support your career switch from one job position to another. More info here.
Traveling on business
Having clients all over the world means our employees sometimes have to travel to and work from beautiful locations. Gotta do what you gotta do.
02
Health &
Family life
Subsidized recreation
Stay in shape with a sponsored fitness membership of your choice. You never know when the elevator is going to go out of order.
Sponsored health checks
You know the old saying – the greatest wealth is health. Regular health checks are on us, getting your five-a-day in is on you.
Flexible working hours
Hate waking up very early or fancy going for a run at the lunch break? Tailor your working hours to fit your schedule.
Paid vacation for everyone
Students or non-students, everybody deserves a carefree time-out to recharge their batteries. Bon voyage!
03
Around
the office
Free power-ups
Snack on fruit, cookies, and nuts to keep your energy levels up, then pour a cup of strong tea or coffee over it for a good measure.
Car and bike parking
Whether your ride comes on two wheels or four, don’t let it get caught in the rain. We offer free parking for bicycles and subsidize car parking.  
Working remotely
We like people who go the extra mile, so we don’t let miles and kilometers limit us. Office location? Anywhere. It’s all about flexibility.
Fun and games budget
Every team gets a monthly budget to hang out and do fun stuff. While foodie teams love restaurant hopping, adrenaline seekers prefer to get locked up in escape rooms.
Bring your dog to work
If your four-legged friend doesn’t eat MacBooks, let him tag along. Your colleagues will appreciate the stress relief.

Apply for
this position

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