Senior Machine Learning Engineer

Picnic Technologies

Amsterdam

On-site

EUR 70,000 - 90,000

Full time

14 days+

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Benefits offered by this job

Health insurance discount
Bike rental plan
Fresh lunch and snacks
Relocation assistance
25 holidays

Job summary

A leading grocery delivery company in Amsterdam is seeking a Senior Machine Learning Engineer to design and deploy intelligent systems to tackle major challenges. You will work closely with stakeholders to deliver impactful solutions, with a strong emphasis on high-quality data. Ideal candidates have a Master's degree in a related field, 5+ years of experience, and excellent communication skills.

Qualifications

  • 5+ years of experience in data science or applied machine learning.
  • Experienced in designing, deploying, and maintaining production ML systems.
  • Able to define the long-term vision and technical architecture for ML solutions.

Responsibilities

  • Design and deploy intelligent systems to solve company challenges.
  • Collaborate closely with stakeholders to ensure right problems are solved.
  • Identify and execute improvement possibilities with ML Engineers.

Skills

Strong Python skills
SQL skills
Excellent communication skills
Experience with Docker
Experience with Kubernetes

Education

Master’s degree or higher in AI, Computer Science, Mathematics, or a related field

Job description

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In a nutshell

As a Machine Learning Engineer at Picnic, you will design and deploy intelligent systems to solve our company’s biggest challenges. Beyond building models, you will productionize them with strong monitoring and seamless integration into operational systems. You will collaborate closely with stakeholders to ensure the right problems are solved and that solutions deliver real-world impact.

All using high quality data. Our data is registered, logged, and consistent, enabling you to focus on building and improving models rather than cleaning data. This role combines the skills of a consultant, software engineer, and applied mathematician.

Tricks of the trade

You will definitely:

  • Identify and execute improvement possibilities together with other ML Engineers and (product) analysts
  • Collaborate on your project from inception to production, to continuous improvement
  • Develop tools and enhancements for our cloud-based Machine Learning platform


You could work on various projects and fields, such as:

  • Demand forecasting: delivery, article, trip volumes, used Picnic-wide
  • Fraud detection: helping us keep troublemakers out of our store
  • Recommendation systems: generating useful in-app grocery suggestions
  • Search and ranking: helping our customers find exactly what they need
  • Predicting delivery drop-off times: making sure we’re on-time at every customer’s door
  • Vision: ensuring quality control and smooth operations within our warehouses


Check out some of our previous machine learning projects here: https://blog.picnic.nl/tagged/machine-learning

We’re looking for

  • Master’s degree or higher in AI, Computer Science, Mathematics, or a related field
  • 5+ years of experience in data science or applied machine learning
  • Excellent communication skills, you can clearly explain complex ideas in non-technical terms and enjoy working closely with business stakeholders to solve problems together
  • Experienced in designing, deploying, and maintaining production ML systems, with solid software engineering and ML principles
  • Strong Python and SQL skills
  • Able to define the long-term vision and technical architecture for ML solutions within your domain
  • Experience with Docker, Kubernetes, and CI is a plus


Picnic Perks

???????????????? Teamwork makes the dream work

With more than 80 nationalities across 3 countries, you’ll be part of a diverse company with plenty of cool stuff to get involved with, from board game evenings to after-work drinks to our company ski trip and more!

Make a difference

You’ll work in an awesome startup environment with the freedom to drive your own projects and create a visible impact. Our fully electric vehicles and sustainable business model mean you’ll also be contributing to making the world a better place!

Fresh Lunch, coffee, and snacks

Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up.

Health insurance discount & bike plan

We have a partnership with CZ (a health insurance provider). Picnic employees get a discount on CZ insurance packages between 5% and 15%. Furthermore, through our partnership with Lease a Bike, you can rent-to-own a new (e)bike at a discounted rate

Relocation

If you’re moving from another country to join Picnic we make it as smooth as possible for you. We’ll cover your flight costs for you and your partner and kids, your first month's rent and moving costs (up to €2000), and help you with the 30% tax ruling setup and application.

All the rest

At Picnic you get 25 holidays, we cover your travel expenses and offer a pension plan. And your phone and laptop are on us, as well.

A Bit About Us

When you join Picnic, you’re joining the shopping revolution, delivering groceries to millions of people across Europe, and we’re growing fast. Think super fresh products and personal service, but in a modern, sustainable way. The tech team at Picnic is at the core of Picnic. From deep learning models to forecast orders to delivery algorithms to warehouse logistics: we’ve built it all from the ground up. You’ll thrive here if you’re a problem solver with a pro-active mindset who’s not afraid to be challenged daily.

Commitment to equal opportunities

Picnic is an equal opportunity employer—this means that all decisions regarding applications will be based on qualifications and merit. Applicants will be regarded independently of age, gender identity or expression, sexual orientation, ethnicity, skin color, civil status, religious beliefs, physical or mental disability, or any other factors protected by law.

At Picnic, we celebrate and value our differences and are committed to building a safe and inclusive working environment where everyone can be themselves.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    Retail

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