Senior Software Engineer, Machine Learning

Job title:

Senior Software Engineer, Machine Learning

Company

Swapcard

Job description

Swapcard is the leading AI-powered event platform designed to drive revenue growth and foster meaningful connections at in-person and hybrid events. We recognize the importance of teamwork in successful events; that’s why Swapcard is fueled by a team of innovators who are passionate about helping organizers build future-proof events.Our VisionAt Swapcard, we believe in the power of meaningful connections. This belief fuels our commitment to pioneering modern solutions that empower organizers to create engaging event experiences.Guided by our commitment to excellence and collaboration, we aim to redefine the landscape of event technology, setting new standards for engagement, accessibility, and impact.Our BeliefsAt Swapcard, diversity is at the core of our success. With 42 nationalities represented among our 180+ team members, we champion diversity as a catalyst for creativity, collaboration, and unparalleled innovation.We believe that by embracing a multitude of backgrounds, cultures, and viewpoints, we can truly understand and cater to the needs of our global community of event organizers and participants.Our full remote opportunities empower our team to thrive, no matter where they are in the world, fostering a culture of flexibility and inclusion.As Senior Software Engineer , Machine Learning at Swapcard, you will be a key member of the Swapcard Lab team, focusing on developing and maintaining our recommendation system and meetings generator. The Lab is the business and research division of Swapcard, driving innovation in artificial intelligence. You’ll collaborate with a Senior Machine Learning/AI Research Scientist and other experts to shape the future of AI in the events industry.Currently, the Lab is focused on three key areas :Matchmaking – Delivering personalized recommendations for networking, sessions, exhibitors, and products to enhance engagement and interactions before, during, and after events.Meaningful Insights – Providing organizers with valuable insights into audience engagement through various indicators, helping assess engagement levels across content, networking, and overall participation.Large Language Models (LLM) – A future focus area for the team, aimed at evolving event organizer support by fine-tuning LLMs with event data. This includes generating event templates, summaries, and automatic filters, streamlining operational processes and scalability.Must have’s:Proficient in Python, with solid understanding and practical experience beyond basic familiarity.Experience in working with data models, building specific machine learning models using DBT, and orchestrating workflows with Dagster or Argo Workflows for example.Negotiable skillsPreferred ML experience: Proven success in designing and optimizing ML services, with a strong emphasis on diagnosing and preventing performance issues.Wanted skills:Curiosity and Innovation: The ideal candidate should demonstrate a strong curiosity and willingness to explore uncharted territory. They should be open to experimenting with novel approaches, even if it means stepping outside their comfort zone.Data-driven analytical mindset with attention to detail, ensuring precision in all aspects of ML development and problem-solving.Strong interpersonal skills and emotional intelligence, enabling effective communication, team collaboration, and the ability to positively influence team dynamics.Proven capability in project execution, from clear definition through tactical implementation, with adaptability to lead projects to successful outcomes.Strategic contribution to company growth, including participation in hiring and executing internal strategies to achieve company goals.Specifically, you will be responsible for the following tasks, with a particular focus on transforming research work into marketable products:

• Developing and Implementing ML architecture: Involvement in designing ML models to generate new, valuable content or features for the product. Following MLOps principales to drive Design, Development, and Operations excellence. Solid foundation in data science and machine learning principles, as well as creativity and innovation to explore new solutions.
• Data Analysis and Interpretation: Turning complex data into actionable insights is crucial for guiding the development of features that meet user needs and enhance the product’s value proposition.
• Cross-functional Collaboration: Working closely with product managers, engineers, and other stakeholders to ensuring that ML initiatives align with the overall product strategy and business goals.
• Advocating for Technical Excellence: Pushing for high standards in code quality, security, and performance, and maintaining these through code reviews and best practices.
• Solving Complex Problems: Taking on high-level technical challenges and driving solutions that have a broad impact on the team and product.
• Operational Support: Participating in war-room to troubleshoot and resolve critical issues.

Swapcard’s Interview processOur thorough interview process aims to identify exceptional talent to advance our mission while offering you a chance to explore your career potential at Swapcard.1. Screening Interview with a recruiter from our people team.2. A remote exercise to demonstrate and assess your skills.3. Manager review with your future reporting manager4. Leadership review with one of our department leaders5. Reference check conducted by our people team6. OfferSwapcard’s ValuesCurious: We ask questions and try new things. We embrace new experiences and love to learn from others. We are curious about what something is and WHY something is.Open-minded: We welcome change as well as ideas and feedback from others. We welcome people as they are and learn from each other’s personal and professional experiences.Human: No masking who we are. Empathy encourages a down-to-earth environment where we all feel comfortable and free to be human. Creating bonds makes it easier to share ideas, give feedback, and ask for help.Resilient: Our challenges in life have only made us stronger and wiser. We prefer the term “experiment” over “failure” because we always keep trying. We are solution-oriented and find innovative approaches to succeed.Ambitious: Nothing is impossible. We’re always striving to get better, seize opportunities, and reach the top. We are encouraged to dream big and believe in ourselves.Benefits & Reasons to Join Swapcard– International team with 40+ nationalities (more on the way!)– Remote-first policy with headquarters in Paris– Thriving startup with career growth opportunities– Open-minded culture that appreciates differences– Feedback-driven, supportive & curious team with a DIY mindset– Generous Paid Time Off to ensure you have time for what matters most– Remote perks designed to optimize your working experience– In-person social gatherings to celebrate our achievements– 100% of your health insurance contribution paid by Swapcard– Work-from-home budget (one-off contribution for equipment in addition to your initial equipment setup)– Co-working space budget to support remote work in professional environments– Learning budget to help you develop new and existing skills– Mental health care initiatives to support your well-beingEqual OpportunitySwapcard is committed to upholding equal employment practices and making merit-based employment decisions. We welcome individuals from all backgrounds, abilities, and experiences to apply, regardless of race, nationality, religion, sexual orientation, gender identity, pregnancy status, age, marital status, and status as a veteranBalises associées–RÉSUMÉ DE L’ OFFRESenior Software Engineer, Machine LearningSwapcardLyonil y a 14 joursS/OTemps pleinPostuler maintenantEnregistrerSignaler cet emploiDemandeurs d’emploiEmployeursInformations légalesEntrepriseRechercher(modifier les préférences)© Copyright 2024 LesJeudis. Tous droits réservés. Toutes les autres marques déposées (logos, etc.) d’entreprise appartiennent à leurs propriétaires et ayants droits respectifs.

Expected salary

Location

Lyon

Job date

Sat, 05 Oct 2024 22:16:14 GMT

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