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Jobs in Avignon, Frankreich

Senior Machine Learning Engineer

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Ich möchte über neue Stellenangebote in Avignon benachrichtigt werden.

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discover more jobs illustrationEntdecke mehr Stellenangebote als bei herkömmlichen Stellenportalen. Jetzt mehr Stellenangebote entdecken

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Senior Machine Learning Engineer
Photoroom
Paris
Remote
EUR 125.000 - 150.000
Vollzeit
Vor 30+ Tagen

Zusammenfassung

A leading AI technology company is seeking a Senior ML Engineer to enhance model deployment speeds and streamline CI/CD processes. You will work closely with teams to ensure efficient model lifecycle management while maintaining optimal performance. This remote-friendly position requires at least 4 years of experience with deep learning frameworks and a proactive approach to problem-solving.

Leistungen

Flexible work from anywhere in Europe
30 days annual leave plus public holidays
Annual learning and development budget
Private health insurance
Relocation support up to €10k
Monthly co-working space stipend of €400

Qualifikationen

  • 4+ years of experience in machine learning and model deployment.
  • Strong sense of ownership and initiative.
  • Willingness to learn and share knowledge.

Aufgaben

  • Support team in deploying models to millions of users rapidly.
  • Own the ML CI/CD process ensuring robustness.
  • Assist researchers in model training and inference performance.

Kenntnisse

Experience with PyTorch
Experience with TensorFlow or Jax
CI/CD pipeline development
Automating model lifecycle
Optimization of GPU usage
Deep learning model deployment
Jobbeschreibung
About us

Photoroom launched in 2020 after being accepted into Y Combinator and has become the world's most popular AI photo editor over the past four years. Our goal is to create the technology allowing anyone create studio-level product images in minutes.

With over 300 million downloads and processing 5+ billion images annually, we serve both individual creators and major enterprises like Amazon, DoorDash, and Decathlon through our B2C app and B2B API solutions.

We're a profitable, remote-friendly company that has raised Series B funding and aims for 40% year-over-year growth. Our team of 100+ passionate builders focuses on craft, innovation, and collaboration, creating exceptional impact for entrepreneurs and businesses worldwide.

Role Summary

We're looking for a Senior ML Engineer to maximise our iteration speed, whether it is moving a model from the research environment to it being tested by millions of users in the apps, or ensuring proper code quality through a fast and robust CI, or helping researchers iterate fast. You\'ll be responsible for the deployment speed (from research to the apps), CI/CD and any automations we can leverage to improve our productivity, while collaborating closely with the other members of the ML team, the product team and the infra team.

Compensation: 125k-150k + Stock-Options/BSPCE
Location: Remote across Europe with monthly Paris office visits (fully reimbursed)

About the Role
  • You will support the team in getting their models in the hands of millions of users as fast as possible with minimum work on their side while maintaining state of the art inference performance.

  • You will own the ML CI/CD and ensure that it is robust and reactive.

  • You will support the researchers in speeding up their experiments through better compilation of training models, sharding strategies, identifying bottlenecks.

  • You will work within a multicultural team composed of ~100 passionate, friendly & committed folks.

  • You will be transmitting your knowledge and experience through your code and reviews, and you will have at heart the whole team's progress and impact.

About You
  • You have 4+ years of experience with PyTorch, TensorFlow or Jax and are willing to start or keep working with PyTorch.

  • You have built CI/CD pipelines that ensured code quality / consistency in both research and production codebases.

  • You have worked on automating the model lifecycle from data collection, training, evaluation, deployment and monitoring in production.

  • You have optimized GPU power usage and model performance (latency, throughput, cost) in research or production environments.

  • You have deployed several deep learning models in production using efficient runtimes in services used in real world apps or products.

  • You have a strong sense of ownership

  • You take initiative and you are at ease to make product & technical decisions.

  • You’re curious, are comfortable with explaining or learning depending on the situation. The team has deep expertise and values knowledge sharing and humility.

  • Nice to have: You are familiar with TensorRT, Dynamo, Dynamo-Triton (ex Triton Inference Server), VLLM, TensorRT-LLM.

If you think you have what it takes but don\'t meet every single point above, please still apply. We'd love to chat and see if you could be a great fit.

Benefits
  • Work flexibly from anywhere in Europe within a 3-hour flight from Paris (HQ)

  • Regular team gatherings, including in-person onboarding in Paris (1-2 weeks), yearly company offsite and team retreat, quarterly in-person meetings (monthly during probation period), and social events like winter party and hackathons.

  • 30 days annual leave plus local public holidays

  • Competitive equity package with stock options/BSPCE, giving you ownership in our growing company

  • €1000 one-time home office grant OR €400 per month co-working space stipend

  • €1,000 annual learning and development budget for training, courses, books, and skill development

  • Private health insurance

  • Access to personalised mental health support, including 1:1 sessions with therapists or coaches, self-care tools, and well-being resources via MokaCare

  • Sports and cultural activities reimbursement

  • Relocation support (up to 10k) available for those choosing to move to France, including apartment finding and visa assistance.

Note: Visa sponsorship and relocation support are only available for positions based in France. We cannot sponsor visas for remote positions outside of France.

Hiring Process
  1. Screening call with Talent Manager (30min)

  2. Technical interview with Hiring Manager (45min)

  3. Take-home assignment and live review with the team (45min)

  4. Culture fit interviews and meet the team (~3h in total)

  5. Reference check and offer

Support: We value diversity and aim to create an inclusive experience for all applicants. Please let us know if there’s anything we can do to make the process more accessible for you.

Diversity, Equity, Inclusion, and Belonging

We're committed to enabling everyone to feel included and valued at work. We believe our company and culture are strongest when composed of diverse experiences and backgrounds.

That's also why we have flexible working hours, trust people to work remotely, and extended parental leave.

All qualified applicants receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws.

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* Der Gehaltsbenchmark wird auf Basis der Zielgehälter bei führenden Unternehmen in der jeweiligen Branche ermittelt und dient Premium-Nutzer:innen als Richtlinie zur Bewertung offener Positionen und als Orientierungshilfe bei Gehaltsverhandlungen. Der Gehaltsbenchmark wird nicht direkt vom Unternehmen angegeben. Er kann deutlich über bzw. unter diesem Wert liegen.

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