Senior Machine Learning Engineer, Picnic Technologies
More information about location
Supermarket on wheels
Be an early applicant
Supermarket on wheels
1001+ employees
Be an early applicant
More information about location
1001+ employees
Company mission
Building the modern milkman - personal service and fresh products in a modern, sustainable way.
Role
Who you are
- You’re more than a model builder: you’re a blend of internal consultant, software engineer, and applied mathematician
- Master’s degree or higher in AI, Computer Science, Mathematics, or a related field
- At least 4 years of experience in data science
- Experience with maintaining production-level ML solutions, with solid software engineering and ML principles
- Strong Python and SQL skills
- Superb communication skills and ability to transfer knowledge to business stakeholders and the rest of the data science team
- Comfortable with taking responsibility, showing initiative, and working independently
- Ability to think outside the box and an anything-is-possible mindset
- Quality control: commitment to excellence, performance, and efficiency
- Experience with Docker, Kubernetes, and CI is a plus
What the job involves
- As a Senior Machine Learning Engineer at Picnic, you’ll work on creating intelligent, automated systems to solve our company’s biggest challenges, at scale
- You won’t stop at building a model—you’ll productionize it alongside the wide variety of machine learning models we already have running in production
- Working closely with business leads and other machine learning engineers, you’ll identify and solve problems leveraging machine learning
- When working with our Inbound team, you’ll work on improving the Temporal Fusion Transformer model that predicts demand on the article level—a direct input for our ordering system
- With our Payment team you could work on our real-time payment fraud detection system— to ensure we block intentional fraud, not happy customers
- You might think, ‘Sounds good, but 80% of my job is going to be cleaning data.’ Not here. Our data is registered, logged, consistent, and immaculate. We’re a mature team with the infrastructure, tools, and expertise to get models into production
- Forecasting demand: order volumes, article demand, used Picnic-wide
- Forecasting the number of trips: making sure we have enough vehicles and runners
- Fraud and outlier detection: helping us keep bad-guys out of our store
- Recommendation systems: generating useful in-app grocery suggestions for our customers
- Search and ranking: helping our customers find exactly what they need
- Predicting delivery drop-off times for our distribution: making sure we’re on-time at every customer
- Work closely with business leads to identify opportunities, define business cases, and scope out the requirements
- Own your own project from inception to production, to continuous improvement
- Develop tools and enhancements for our cloud-based data science platform
Our take
Picnic is one of Europe's largest online supermarkets, quickly growing into a household name with its simple, yet innovative app and green business model. Thanks to its ‘own the supply chain’ model and daily delivery routes (as opposed to on-demand delivery), the company is able to run a low-cost business targeted at the mass market, rather than premium buyers.
One of the major factors in the company’s rampant growth since 2015 is its capacity for free delivery, enabled by these daily delivery routes. The company's fleet has grown from 4 vans to more than 1,000 electric vehicles, cutting down on carbon emissions as it serves its hundreds of thousands of users.
The company's impressive funding - which has been heavily backed by the likes of The Bill and Melinda Gates Foundation to the sum of 1.4 billion euros in funding - has enabled Picnic to expand beyond The Netherlands into Germany, France, and further afield. Picnic is well set to see continued growth and expansion as it further disrupts the grocery delivery market.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Jan 2024
$369.1m
LATE VC
Sep 2021
$623.8m
SERIES D
Total funding: $1.3bn
Company benefits
- Lunch & Learn sessions, soft-skill training, weekly free professional language courses, and the Picnic Tech Academy
- At Picnic you get the freedom to manage and implement your own projects in a scale-up culture
- Freshly prepared and healthy lunch every day, as well as snacks, fruit and drinks
- Access to Openup and Lepaya trainings
- Pension Plan
- Flexible/Hybrid Work Model
- 25 Days Vacation
Company values
- Innovation On All Fronts - From distribution model to warehouse system: we improve something new every day. For our customers and for ourselves
- We Develop In-House - We’re true DIYers. Our own products are distributed through our own warehouses that run on our own software
- Data At The Core Of Our Business - With us, being “data-driven” is more than just a buzzword. Data lives in everything we do
Articles
Leadership
Daniel Gebler
(Co-Founder & CTO)Former Researcher at VU University Amsterdam, and was the Director of R&D at Fredhopper.
Frederik Nieuwenhuys
(Co-Founder & Groenteboer)Co-founder and COO of merchandising software Fredhopper, and former Principal at OC&C Strategy Consultants.
Michiel Muller
(Co-Founder)Supervisory board member of FD Mediagroep, investment committee member of InnovationQuater, and former chairman of Erasmus Trustfund.
Joris Beckers
(Co-Founder)Former brand manager at Proctor & Gamble, and co-founder of merchandising software Fredhopper.
Salary benchmarks
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Diversity, Equity & Inclusion at Picnic Technologies
- At Picnic everyone has equal opportunities. We base all our decisions in the application process on qualifications and merit. Applicants will be independently assessed regardless of age, gender identity or expression, sexual orientation, ethnicity, skin color , marital status, religion, physical or mental disabilities, or other factors protected by law. We do our best every day to create a safe, inclusive workplace where everyone can be themselves
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