Remote Senior Applied Scientist

Description:

• PhotoRoom is seeking a Senior Applied Scientist to work on various ML solutions, from requirements to product development, with a focus on data acquisition, strategy, and follow-ups.
• The role involves owning most of the ML process, contributing to data acquisition, and making decisions on optional labeling and overall strategy.
• The work will impact millions of users and be highly valuable and recognized.
• The position offers a salary range of 70€-110k€ depending on experience, along with Stock-Options/BSPCE.
• Remote work is possible from anywhere in Europe with monthly visits to Paris, fully reimbursed.
• Significant relocation support is provided, including a 10k€ signing bonus, assistance in finding accommodation in Paris, and visa procedure support.
• Technology perks include a new MacBook Pro, monitor, keyboard, etc.
• Social benefits include quarterly company retreats, weekly Happy Hour, and Game Time.
• Language lessons in English and French are offered for those in need.

Requirements:

• The ideal candidate should have 3+ years of experience with PyTorch, Tensorflow, or Jax, with a willingness to work with PyTorch.
• Experience with state-of-the-art image models, training, and deploying models in production is required.
• Bonus points for experience with diffusion models, SOTA segmentation, model alignment, neural rendering, ML for videos, on-device ML, and fast inference frameworks for deep learning.
• Strong pragmatism, favoring speed of iteration over perfection, leveraging frameworks and libraries to avoid reinventing the wheel.
• Experience working on products with complex architectures and a strong sense of ownership.
• Comfortable making product and technical decisions, with a background in a fast-growing startup environment.
• Curiosity, willingness to explain or learn, and a value for knowledge sharing and humility.
• Fluent in English (French not required).

Benefits:

• Full ownership of ML work streams or collaboration on significant topics within a multicultural team of around 30 passionate individuals.
• Mastery of the ML pipeline from training models to production deployment and performance monitoring.
• Opportunity to work on new features, applications, and 0→1 solutions.
• Fast feedback from users for quick iteration and decision-making based on product usage.