Lead Machine Learning Engineer
Role details
Job location
Tech stack
Job description
Shotgun historically has been growing as an electronic music live event platform. It has been growing that way organically from word of mouth and sales effort. As we are expanding in new geographies and new music verticals, our objective is to refine how events and users are matched to enhance relevance and the user experience. This encompasses not only user preferences but also equipping organizers with insights to book artists aligned with audience tastes and explore deeper into their preferences.
To achieve this, we're looking for a talented individual to join our team and establish a machine learning-based content management and recommendersystem.
What you will do
- Work closely with the Strategy and Product teams to proactively explore opportunities for leveraging data science and machine learning, driving innovation, maintaining a competitive edge, and delivering exceptional value to users, partners, and customers.
- Lead the research and development of cutting-edge recommender systems, among other applied data science and machine learning projects, with a focus on balancing experimentation, learning, and return on investment.
- Partner with Product teams to translate research into production-ready features, making informed simplifications and adapting systems to production constraintsas needed.
- Battle test your reasearch and models by running extensive data analysis, turning complex models into easy to grasp visual representations of what your models effectively learned.
- Advocate for and promote scientific research methodologies and the use of machine learning within the company, effectively engaging both internal and external stakeholders.
- Establish strong foundations for a research team by streamlining and industrializing machine learning and data science project development, enhancing the company's Machine Learning Platform and associated processes., Work closely with the Strategy and Product teams to proactively explore opportunities for leveraging data science and machine learning, driving innovation, maintaining a competitive edge, and delivering exceptional value to users, partners, and customers.
- Lead the research and development of cutting-edge recommender systems, among other applied data science and machine learning projects, with a focus on balancing experimentation, learning, and return on investment.
- Partner with Product teams to translate research into production-ready features, making informed simplifications and adapting systems to production constraintsas needed.
- Battle test your reasearch and models by running extensive data analysis, turning complex models into easy to grasp visual representations of what your models effectively learned.
- Advocate for and promote scientific research methodologies and the use of machine learning within the company, effectively engaging both internal and external stakeholders.
- Establish strong foundations for a research team by streamlining and industrializing machine learning and data science project development, enhancing the company's Machine Learning Platform and associated processes.
Requirements
We're looking for individuals who want more than just a job. People willing to get out of their comfort zone to reach outstanding goals. Doers who never stop learning. We want people who are talented, optimistic and fun: who set the bar high but don't take themselves too seriously., You have a sharp analytical mindset and a solid academic background preferably a PHD in Mathematics,Computer Science orMachine Learning or Master degree in Engineering.
- You have a gift for abstraction and identifying complex mathematical concepts can be tweaked to solve real world problems.
- You have at least 5 years of hands-on experience in machine learning related roleswith a previous experience with recommandation systems and non-textual data embeddings.
- You prioritize user-centric, practical solutions over costlier cutting-edge alternatives
- You are a critical thinker. No matter the given performances of your models you will challenge them in every possible way paying extra attention to what your model actually learn keeping in mindsocio-demographical biaises that could lead to involuntarydiscriminations.
- You have solid Data AnalyticsandMachine Learning skills - Experience developing with machine learning framework in production is a requirement.
- You having an advanced understanding of Software Engineering and are good attransitioning Machine Learning proof ofconcepts into robust systems building around production environment constraints.
- You are actively seeking feedback and input from teammates to uncover opportunities, define project scopes, and address challenges.
- You are fluent in English and French, and are able to communicate with the team across multiple offices.
Benefits & conditions
You are passionate about entertainment: it doesn't matter which industry, but entertaining people makes you happy: music, gaming, events,...
- Note to women : Shotgun as a company value gender and origin diversity not because it sells to applicants but most importantly because it is necessary to scale in a healthy manner and boost creativity. Problem is women tend to apply less often when they think they don't match all job requirements. So if you think you're not matching 100% of the requirements, no matter your gender, please apply
Perks
Team Off-sites and team moments: We organise a lot of team moments at Shotgun, because the team is precious to us!
Shotgun events vouchers : you will get shotgun credits every quarter
Gymlib : Shotgun promotes sport activity; you will get preferential rates for various sports halls
Sustainability mobility bonus: in order to encourage the use of sustainable transportation means, you will be granted a contribution if you are using a personal bike, for example, to get to work.
Swile Lunch Card: Lunch card and much more:
Alan Health Insurance: We got you covered with
Childcare
Hiring process
We like to move fast but want to give you a chance to meet as much team members as possible:
- Introductory meeting with our Head of data (1 hour)
- Take Home Case Study(4-6 hours)
- Case Study debriefewith our Head of data (30 min)
- Interview with our CFO and CPO (1 hour), You are passionate about entertainment: it doesn't matter which industry, but entertaining people makes you happy: music, gaming, events,...
- Note to women : Shotgun as a company value gender and origin diversity not because it sells to applicants but most importantly because it is necessary to scale in a healthy manner and boost creativity. Problem is women tend to apply less often when they think they don't match all job requirements. So if you think you're not matching 100% of the requirements, no matter your gender, please apply
Team Off-sites and team moments: We organise a lot of team moments at Shotgun, because the team is precious to us!
Shotgun events vouchers : you will get shotgun credits every quarter
Gymlib : Shotgun promotes sport activity; you will get preferential rates for various sports halls
Sustainability mobility bonus: in order to encourage the use of sustainable transportation means, you will be granted a contribution if you are using a personal bike, for example, to get to work.
Swile Lunch Card: Lunch card and much more:
Alan Health Insurance: We got you covered with
Childcare
We like to move fast but want to give you a chance to meet as much team members as possible:
- Introductory meeting with our Head of data (1 hour)
- Take Home Case Study(4-6 hours)
- Case Study debriefewith our Head of data (30 min)
- Interview with our CFO and CPO (1 hour)
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