Senior Machine Learning Engineer

il y a 1 mois

ÎledeFrance, France Adikteev Temps plein
☆ WHO WE ARE

Adikteev, a member of the 2022 "French Tech 120," fuels the app ecosystem by inspiring users to engage with the apps they know and love. Specializing in user retention, we grow in-app revenue and build user loyalty with custom retargeting and churn prediction campaigns.

With over 100 employees and offices in Paris, San Francisco, and Seoul, Adikteev operates worldwide, achieving an expected 60% revenue growth this year ($50m+ revenues in 2023)

☆ HOW WE DO IT

☆ Own It, Live It: Our top priority is making sure our customers are not just happy but thrilled. We're not afraid to make bold moves, take charge of challenges, and see them through to the end.
☆ Rolling with the Changes: We don't just face challenges, we predict them. Agility is our middle name, and we're all about continuous learning. Adaptability is our recipe for success.
☆ Making Waves with Purpose: We're here to make a difference. Every decision and action we take is aimed at making a meaningful impact.
☆ The ADIKTEAM Vibe: It's not just a team; it's the ADIKTEAM. Each one of us is a crucial part of the squad and we're always on the lookout for A+ players.

☆ WHAT YOU WILL DO
  • Design, deploy, monitor, maintain and improve machine learning and deep learning models in production. You will collaborate with the Engineering team for these purposes. Currently, our models serve diverse needs (user conversion, churn, app recommendation, user segmentation). They have been developed and improved over the years to optimize their performances while taking into account the main constraints of our industry: inference time and data volume.
  • Perform custom analyses to give insights to various levels of stakeholders (investigate performance shift, A/B test, evaluate a business potential, presale analysis).
  • Mentor a junior Machine Learning Engineer

☆ WHO YOU ARE

You would be a good fit to join the Machine Learning team at Adikteev if you :

  • Hold a Master's degree or PhD in STEM, preferably with a statistics focus.
  • Have 5+ years of experience working in teams using data science to power a core company product or service. Exceptional candidates with less professional experience will also be considered.
  • Applied experience with machine learning on large datasets.
  • Mathematical skills - Understand and enjoy applying theoretical concepts of probability, statistical learning and optimization. You are eager to keep abreast of relevant academic & professional research.
  • ML skills - Have proficiency in querying, structuring and processing qualitative or quantitative data to draw insightful business conclusions. You have knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks.
  • Technical skills - Program deftly in Python (main packages: pandas, numpy, scipy, scikit-learn, tensorflow) with coding best practices (clean code, DRY, typing, tests, formatting, factorization). Experience with PySpark (or Scala) is a plus. You have basic knowledge of database languages (SQL), competency in shell scripting, experience with deployment to Production and experience with AWS a plus (S3, EC2, EMR, Glue, SageMaker).
  • Main soft skills - Are a fast learner, autonomous, team player, creative, practical, business oriented.
  • Communication - Speak and write clearly and concisely. Fluent English, French is a plus.

☆ PERKS AND BENEFITS

  • Competitive Salary ;
  • Performance-based Quarterly bonus with transparent KPIs;
  • Profit-sharing scheme ("Prime de participation") ;
  • Longevity bonus every 2 years ;
  • Healthcare plan with excellent coverage (50% of the contribution covered by Adikteev) ;
  • €9 Lunch Vouchers (Tickets Restaurant - SWILE card - 50% of the contribution covered by Adikteev) ;
  • 4 1/2 days work week (Fridays afternoon off) ;
  • "RTT" ;
  • 50% of transportation fees covered by Adikteev (Navigo Pass)
  • Mental Health support ;
  • Flexible remote working policy ;
  • Regular team-life event / activity
  • Parental leave Policy.

☆ OUR PROCESS

  • A call with Claire, Talent Acquisition Partner,
  • An interview with Loïc, CPO
  • A hands-on use case to be completed remotely, followed by a restitution with Gwenaëlle, Senior Data Scientist and Thomas, COO.
  • A final interview with Thomas and Cédric (CTO)

We prioritize people, not just job titles.

At Adikteev, we value talent in all its many forms and qualifications. If, after reading this job description, you feel that the position aligns with your current abilities and career aspirations, we encourage you to apply even if you don't have every skill listed.

Not everyone will make it through our hiring process, but your skills might just be the perfect match for another adventure we have now or down the road.

As an Employer of choice, Adikteev does not and shall not discriminate on the basis of race, color, religion, gender, gender expression, age, national origin, disability, marital status, sexual orientation, or military status, in any of its activities or operations. These activities include, but are not limited to, hiring and firing of staff, selection of volunteers and vendors, and provision of services. We are committed to providing an inclusive and welcoming environment for all members of our staff, clients, volunteers, subcontractors, vendors and clients.

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