Principal Machine Learning Engineer
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Imagine combining all that data with technologies such as image recognition, AR, named entity recognition, OCR, rate prediction, recommendations, etc. We are looking for someone to spice up all the data and technologies with highly skilled and engaged colleagues within different disciplines such as backend, frontend, platforms, design, and UX.
Do all these things resonate with your expectations for a great job? Then the position as Principal ML Engineer might just be the right thing for you.
An opportunity to be an expert in ML technologies and counterpart across tech disciplines
As our Principal ML Engineer, you will act as an expert in advising and helping to improve existing ML technologies in the Wine Team. To do so, you will be responsible for seeking out not only clear and obvious but also unclear and unobvious ML opportunities in the Wine Team. As a part of this, you will be the ML counterpart in a team of many disciplines such as backend developers, frontend developers, platform engineers, and UX experts. Accordingly, a key task of yours will be to understand business problems and leverage them through the use of new and existing algorithms / ML frameworks.
Your key responsibilities across these areas of focus will include to:
- Work with product owners to understand requirements and deliver high-quality solutions to our users
- Scanning is our first priority this year: we have 2 main objectives in this sense, enhancing the accuracy of scan matching and making the whole experience of scanning more effective and intuitive. We plan to revamp the technology we use for scanning, also with the help of ML custom models.
- Wine data accuracy: the second big project in focus this year is revisiting our data verification framework, to enhance accuracy and scalability. We intend to make better use of the data we collect (e.g. from merchants’ feeds and from users) and potentially automate the validation of such signals to minimize inconsistencies and mitigate the lack of data.
- The ML Team has two dedicated resources for developing and maintaining an ML Ops pipeline. You are expected to pitch in your ideas, experiences, and opinions.
- The ML Team consists of ML Engineers located in other cross-functional teams. You are expected to be a sparring partner on their projects.
A pragmatic individual with a curious mindset and excellent attention to detail
With your curious and pragmatic mindset, you consider problem-solving thrilling. You are very comfortable with numerical data and rely on objective data before making decisions. Therefore, you enjoy asking questions, as you regard relevant facts to be the way to understand the logic behind an argument.
Just as importantly, you are creatively visionary and enjoy developing effective strategies for long-term solutions. You very much enjoy the creative process and value when people voice their ideas; however, you are also known to challenge them as you believe this results in a constructive discussion. Consequently, enjoy giving presentations and consider yourself good at bringing people to your point of view.
Furthermore, you are fairly conscientious, and therefore, prefer being punctual and paying great attention to details. Therefore, you relate to the word perfectionist, as you are thorough in your approach and want things done properly.Additionally, this approach is amplified by your need to organize and establish clear priorities. Working at a fast pace is not unknown to you and you cope well with multi-tasking. Consequently, you typically find others relying on you, as you are keen on honoring the commitments you have agreed to, thus value ethical matters.
If this characterization resonates with you and your professional experience resonates with our wish list below, we look forward to hearing from you!
- Ph.D. or a MSc. degree in math, physics, computer science, or related field
- 5+ years of relevant experience as ML Engineer or similar
- Hands-on experience designing and implementing end-to-end solutions using Machine and Deep Learning models and workflow
- You are an expert within at least one ML field (Computer Vision, NLP, Deep Learning, etc.) and have a basic understanding of other fields
- An experienced applied ML Engineer who works in the tension between engineering and science
- Experience with cutting edge ML tools & languages (e.g. TensorFlow, PyTorch, HuggingFace transformers, Scikit-Learn, etc.)
- Experience building new products that use state-of-the-art algorithms
- Knowledge of unit / functional / integration testing, profiling, and code tuning
- You are fluent in Python
- Able to read, write, and speak English fluently
- You are a curious, communicative person who is eager to learn and is ready to join a company with few formal procedures and limits
- Scientific and critical thinking, but also possess the ability to present your ideas clearly
Contact and application
In this recruitment process we are assisted by European Search Company. For additional information about the position please contact Søren Rosenkrantz Larsen on +45 2893 7977.
Please note that applications are handled on an ongoing basis. So, please send your application and CV as soon as possible using the application button on this page.
About Vivino
We’re changing the way people enjoy wine, and consequently disrupting one of the oldest industries on the planet. By harnessing the power of technology and social behavior, we’ve created the world’s largest - and smartest - wine community and marketplace. Over the next ten years, the global market for online wine sales is expected to grow significantly and Vivino will be at the forefront of this growth. Now is the time to join a fast paced and growing team.
Who are we?
TRUSTED BY MILLIONS TO DISCOVER AND BUY THE RIGHT WINE EVERY TIME
Vivino is the world's largest online wine marketplace and most downloaded wine app, powered by a community of millions. Vivino's unique wine shopping experience leverages community data to suggest personalized wine recommendations for each individual user. In addition to making wine discovery fun and effortless, Vivino is the best place for wine drinkers to buy wine. The Vivino app is available for download on Android and Apple devices.
We are a fast-paced, growing team with offices in San Francisco, California, and Copenhagen, Denmark. We also have teams worldwide in the UK, Netherlands, Italy, Spain, Germany, France, Ireland, Australia, and Hong Kong.
Our team is passionate about our core purpose - to empower people everywhere to enjoy wine to the fullest. We do that every day by building technology and leveraging data that puts the power back in the hands of the consumer. We do not see wine as a commodity but as an offering of a cultural experience that was once out of reach for many but is now open to everyone.
Our five core values are:
- Always Strive for Better
- Work Together
- Earn and Offer Trust
- Be Approachable
- Lead with Data
Commitment to diversity and inclusion
Vivino is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status, and veteran status any other characteristic protected by applicable law.
Information og data
Denne ledige stilling har jobtypen "Data Manager", og befinder sig i kategorien "Informationsteknologi".
Arbejdsstedet er beliggende i København
Jobbet er oprettet på vores service den 17.5.2022, men kan have været deaktiveret og genaktiveret igen.
- Data Manager
- København
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