Senior Machine Learning Engineer (m/f/d)

Overview

We are Journee — The Human AI Company. We create natural interactions and lifelike digital experiences for brands, products, and people. We are an independent company founded in 2020, with a cheerful team of creatives and technologists. We are recognized for our work in The Webby Awards and Clio Awards and trusted by top global enterprises and iconic brands such as WWF, BMW, H&M, Siemens, Vogue Business, DEPT, McCann, Adidas, and Conde Nast.

At the heart of our technology lies our cutting-edge infrastructure and streaming protocol powering immersive experiences. Our tech stack includes TypeScript, Go, AWS, Infrastructure as Code, React, and Unreal Engine.

About Ojin

We are building Ojin, a real-time generative AI platform for developers. For this new venture, we are assembling a small, ambitious team and we’re looking for a passionate Machine Learning Engineer to join us in building the platform for real-time AI applications.

About The Role

This is a full-time position, either in our Berlin office or remote (CET +/- 2h).

As our first dedicated Machine Learning Engineer, you will shape the future of our real-time generative AI platform. This is a unique opportunity for a mid-to-senior level engineer to own ML-powered features, from experimenting with new models to deployment and optimization in production. You will work closely with a cross-functional team to bring our vision to life.

What You\'ll Do

• Deploy and optimize models: Deploy, optimize, and maintain real-time generative AI models for text, audio, and video on our inference stack. Ensure they are performant, reliable, and cost-effective.
• Experiment and integrate: Research, test, and integrate new state-of-the-art open-source models into our platform.
• Fine-tuning: Fine-tune models to meet customer needs and improve user experience.
• Build and maintain ML infrastructure: Collaborate with engineering to build and maintain MLOps infrastructure, including inference serving and model management.
• Cross-functional collaboration: Work with product, design, and engineering to define the roadmap for ML-powered products and features.

What We\'re Looking For

• Experience: 3+ years of hands-on ML engineering experience with a track record of deploying and optimizing models in production.
• Technical skills: Proficiency in Python with deep experience in async Python (asyncio) and ML frameworks such as PyTorch, TensorFlow, or JAX.
• MLOps: Strong understanding of MLOps principles and experience with model serving, monitoring, and automation.
• Model optimization: Experience with techniques like quantization, distillation, or pruning for real-time performance.
• Problem solver: Pragmatic, balancing technical trade-offs with business needs.
• Collaborative spirit: Excellent communication skills and ability to convey complex concepts clearly; enjoy working in cross-functional teams.
• Adaptability: Highly adaptable and thrive in dynamic, fast-paced startup environments.
• Language: Professional fluency in English, both spoken and written.

Nice-to-Haves

• Experience with real-time generative models for audio or video.
• Experience with AWS.
• Experience with containerization (Docker) and orchestration technologies.
• Experience working in a fast-paced startup environment.
• Contributions to open-source ML projects.

Why work with us

• Flexibility: Work in Berlin or remotely in a similar time zone (CET +/- 2 hours).
• Pivotal role: As the first dedicated ML expert on the team, you will have the opportunity to grow with the company.
• Autonomy & impact: High degree of autonomy and direct impact on product and technology, working on cutting-edge projects with top global brands.
• Values: We value high performance, transparency, continuous learning, humility, and pride.

Journee is committed to creating a diverse and inclusive workplace where everyone is treated with dignity, respect, and fairness. We value diversity in all its forms and believe it leads to better outcomes and a more fulfilling work experience.

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