Machine Learning Engineer
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Job Description
Machine Learning Engineer at Bloom & Wild developing ML services and collaborating with teams. Work includes brainstorming, prototyping, and deployment of models.
Responsibilities:
- On a typical day for the data science team, we sync in the morning during stand-ups to discuss the on-going work and identify blockers or areas of collaboration.
- During the day, we will be brainstorming and prototyping models to solve specific business problems.
- Or, we will be writing robust, well-tested code for new model deployments or supporting the design of A/B tests.
- Or we can be collaborating with other teams to gain a better understanding of business domain, data or requirements
Requirements:
- Have a critical role in architecting, implementing, and maintaining production-grade, low-latency ML services for ranking models, recommendation algorithms, and forecasting methods.
- Collaborate with data scientists, product managers and other teams to brainstorm best approaches for solving the problems at hand, be they product-related or with our infrastructure.
- Help design experimentations to test our ideas and assess improvements to our models.
- Advise on data strategy to provide datasets for future data science projects.
- Deliver ML models with agreed engineering standards to ensure that our capabilities are resilient, scalable and future-proof.
- Enhance our AWS-native MLOps platform, and guarantee high availability and low-latency inference for our models.
- Bring energy and positivity to the role, looking for every opportunity to learn and craft the role around our values: care wildly; think deeply, act swiftly; stay open, be curious; lead change for good.
- Have a solid foundation in traditional ML techniques and the model lifecycle, with the practical expertise to handle class imbalance, tune hyperparameters, and resolve common pitfalls like overfitting.
- Have demonstrable experience designing, deploying, and monitoring ML services to solve customer and business problems.
- Have strong programming skills in Python for delivering production-ready, well-structured and documented code.
- Have experience with large datasets and are proficient with SQL, exposure to Snowflake and dbt is a plus.
- Are curious about customer needs and take a pragmatic, data-driven, and experimental approach to solving problems.
- Thrive in collaborative environments and work effectively with a range of people and teams.
- Bring a positive, optimistic mindset, overcoming setbacks and motivating those around you.
- Are keen to learn and stay up-to-date with the latest technologies and value sharing your knowledge with your peers.
- Experience working on an e-commerce site or in a fast-growing (preferably consumer-facing) start-up is great.
- Experience working in a fully-remote setting is great.
Benefits:
- Flexible working (core hours from 10-4pm)
- Work Abroad for up to 30 days each year
- Share in our success with a choice to take equity options from day 1
- 1 day per year to volunteer on a project that’s close to your heart
- We’ll support your commute to our office and site locations. Depending on your journey to work, this may include a Swapfiets, an NS business card or expense reimbursement
- Phone allowance
- 24 vacation days and an option to buy an extra 5 each year
- Happiness days (1 extra day each quarter for your personal ‘me time’)
- 1 celebration day per year, to celebrate a holiday that’s important to you
- Flexible bank holidays - trade a bank holiday for another day that fits your beliefs, values and celebration calendar
- Mental health support through Open Up, including access to online therapy sessions
- Allies and champions groups
- Mental Health First Aiders and awareness training for our managers
- In person and virtual yoga every week
- Our office kitchen is stocked with healthy drinks and snacks to keep you going
- Workplace pension contributions
- A flexible training framework for every stage of your career development through our Bloom & Learn programme
- Internal & external Speaker Sessions on a variety of different inspirational topics.
- Daily fresh and healthy lunch options at our locations in Amsterdam and Amstelveen,
- A BBQ-worthy rooftop terrace (Amsterdam HQ)
- Social & wellbeing monthly calendar
- We love to celebrate birthdays, anniversaries and other important milestones!
- Summer and End of Year events, team lunches and post-peak celebrations
- Irresistible discounts on our products, blooms & subscriptions!
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