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Machine Learning Manager H/F - Pennylane (Paris) - CDI

Paris11Il y a 13 semaines
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Localisation
Paris
Paris (75)
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Type de contrat
CDI
Publication
Il y a 13 semaines
Entreprise

Résumé de l'annonce Voir l'annonce complèteAnnonce complète

À Paris, Pennylane se positionne comme l’un des Fintechs les plus innovants de France, en visant de devenir le système financier préféré des PME et des cabinets d’expertise comptable. Notre mission ? Libérer les entrepreneurs de tâches chronophages liées à la comptabilité et leur offrir un accès à des données financières clés pour prendre des décisions stratégiques. En tant que Machine Learning Manager, vous rejoindrez une équipe dynamique où votre expertise en apprentissage automatique et votre capacité à innover seront au cœur des défis quotidiens. Ce poste s’inscrit dans un environnement où la technologie et la transformation digitale sont des leviers essentiels pour accompagner des milliers de professionnels.

En tant que Machine Learning Manager, vous piloterez des projets de recherche et de développement, en mettant à profit votre maîtrise des algorithmes et des outils d’intelligence artificielle. Votre rôle consiste à collaborer avec des équipes techniques et commerciales pour identifier des opportunités d’amélioration des processus et des produits. Vous participerez activement à la conception de solutions innovantes, en veillant à leur alignement avec les objectifs stratégiques de l’entreprise. Votre impact sera tangible, car vos initiatives contribueront directement à la croissance et à la pérennité d’une startup en pleine expansion.

Nous recherchons un profil doté d’une solide expérience dans le domaine de l’apprentissage automatique et des systèmes de traitement des données. Vous maîtrisez les méthodologies de data science et avez une expertise en modélisation, en optimisation et en analyse de données massives. Votre capacité à gérer des projets complexes, à mobiliser des équipes pluridisciplinaires et à communiquer des résultats techniques à des non-spécialistes est un atout majeur. Vous incarnez les valeurs de Pennylane : autonomie, proactivité et engagement envers la performance. Votre énergie et votre curiosité sont des leviers clés pour réussir dans ce poste.

En rejoignant Pennylane, vous bénéficierez d’un salaire compétitif au sein d’une structure en croissance rapide, avec des perspectives de mobilité et de développement professionnel. Notre environnement de travail valorise la liberté de décision, la transparence et la collaboration. Vous disposerez de conditions d’emploi flexibles, notamment des possibilités de télétravail et des horaires adaptés à vos besoins. En tant que Machine Learning Manager, vous serez au cœur d’une aventure innovante, où chaque contribution compte pour façonner l’avenir de la finance numérique en France et en Europe.

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Informations complémentaires sur cette opportunité

Annonce originale du recruteur

Source : jobs.lever.co
Contenu original publié par jobs.lever.co
Are you looking to have an impact on the daily life of millions of entrepreneurs in France (and tomorrow in Europe)?Are you looking for a work environment that values trust, proactivity, and autonomy?Are our aligned with your vision?Then Pennylane is the right place for you !
Our visionWe aim to become the most beloved financial Operating System of French SMEs and Accounting Firms (and soon, European ones).We help entrepreneurs rid themselves of time-consuming tasks related to accounting and finance while providing them with access to key financial information to assist in making the best decisions for their business.
About usPennylane is one of the fastest growing Fintechs in France (and soon to be in Europe!)
In 5 years of existence, we've managed to : Make ourselves known as a groundbreaking accounting and financial software for small businesses and their accountants Raise a total of €400 millions, including from Sequoia, the famous fund from the Silicon Valley who invested early in companies like Google, Facebook, Airbnb, Stripe, Paypal and much more... Grow from 7 cofounders to 1000 happy Pennylaners : we're now recognized as one of the greatest places to work in France (and also remotely), with a 4.6/5 rating on . Build an international environment with more than 25 nationalities, with a strong remote-friendly culture, where 30% of the employees are already working from all parts of Europe Earn the trust of thousands of customers and accounting firms and obtain Already more than 800,000 small and medium-sized enterprises (SMEs) and over 6000 accounting firms use Pennylane in France!
WHY this position is of utmost importance to reach our missionAt Pennylane, data drives decisions. This culture is embraced by the leadership team, and actively promoted everywhere. The role of the data team is to make this possible by treating data like a production asset, making it available company-wide, and using it proactively to improve Pennylane's user experience.By joining us as a Machine Learning Manager, you will have a pivotal role in large projects, bringing your engineering and machine learning expertise to help us meet our high delivery standards.

HOW you will contribute to the companyAs a Machine Learning Manager, you will lead a team of Machine Learning Engineers & Data Engineers (5 people), inside the Machine Learning & AI function (15+ people) in our Data department (50+ people).- You will contribute technically to the design and implementation of machine learning solutions and tools across the entire ML lifecycle, from model training and tuning to deployment, inference, experimentation and monitoring.- You will collaborate with Product Managers to ensure the highest impact and quality of machine learning work for our users, as well as the best atmosphere and motivation in the team.- You will grow your team continuously, and team up with other managers to set up the right culture and processes to enable people.- You will work closely with data engineers and software engineers to quickly deploy end-to-end solutions with a direct impact on our users, and improve our machine learning ecosystem.

WHAT you can expect from your life at PennylaneWithin one month:- You will learn everything about our company, our teams, and our vision during the first onboarding week.- You will get to know your team and start taking over people and technical topics.- You will get familiar with our stack, and have delivered a few small projects which will give you a concrete taste of our tools & processes.- You will be given time to meet your future stakeholders, and gain a deep knowledge of our product and operations.
Within 3 months:- You will be fully in charge of your team.- You will be accountable for items in our roadmap, defining and prioritizing team work autonomously.- You will be comfortable with our technical stack (AWS, Terraform, streaming, batch, scheduling, warehousing).
Within 6 months:- You will be involved in cross-team management initiatives.- You will collaborate closely with Product and Tech teams to steer the team's roadmap.- You will work with engineers and ML practitioners on improving our platform.
And beyond: the data team will continue growing with the companyWhich means:- Opportunities to recruit, mentor and manage new team members,- Increased accountability in project leadership,- Responsibilities to design and implement new processes, tools and best practices to make sure that your team works even more efficiently.

What does the recruitment process look like?- A first interview with our Talent Acquisition Manager- A case study interview to discuss a topic closely related to one of our priorities (75 min)- A past project interview to hear about your experience (60 min)- A management interview (45 min)- An interview with our Tech & Product leaders to discuss our company cultureWhat do we do to make your work life easier
Wherever you are based, you will get 25 vacations days paid by Pennylane You'll have a competitive compensation package You'll get company shares to enjoy a piece of the success story you're building with us You'll have a budget to turn your home into a more comfortable workspace, as well as a monthly allowance to work from a coworking space whenever you feel like itThrough our partner Gymlib, you'll have access to 8000 fitness spaces in Europe and more than 300 activities related to wellness You'll have access to to perfect your English or your French You'll get the latest Apple equipment Depending on the teams and the requirements of the position - you'll be able to work remotely from your country of residence, as long as it is in Europe and within a maximum time difference of two hours from the CET time zone We are committed to regularly coming together for company events such as Tech Days (which bring remote Pennylaners together every 3 months) or our annual company seminar, fostering significant moments of cohesion for everyone.
If you are based in France, you will have a French contract following French regulation on top of the additional perks : 6 to 12 RTT, 5 weeks PTOs, lunch credits (Swile), Alan Blue healthcare cover and regular events in cities where Pennylaners are mostly presents (Lyon, Bordeaux, Nantes...)We're working on providing those last advantages to our people based outside of France as well, but it can be quite more complex depending on different countries.
Who are we looking for ?To thrive at Pennylane, you need :-To speak English (level is assessed and appreciated according to the department you're applying to)-To be energized by an ever-shifting work environment-To be highly collaborative (within your team or other stakeholders)-Sufficiently experienced to prioritize business-led actions on your day to day activity
We know that some people are less likely to apply than others, if they don't feel like they meet the full list of criteria.If you're hesitating, we encourage you to apply : who knows, it might be the start of a meaningful and long-lasting collaboration.
We also want to emphasize that we fully embrace diversity, equity and inclusion and that we're doing our best to create a safe and inclusive environment. We are committed to providing an equal employment opportunity regardless of gender, sexual orientation, origin, disabilities, or any other traits that make you who you are. If anything, diversity makes us a more fun place to work at.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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