Senior Machine Learning Engineer

We are now building and launching Ojin, a new real-time generative AI platform for developers. Ojin extends our core technologies to serve the growing demand for interactive real-time AI applications. For this new venture, we are building a small, ambitious team, and we're looking for a passionate Machine Learning Engineer to join us on our journey to build the platform on which these new experiences will be created.

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

As our first dedicated Machine Learning Engineer, you will play a pivotal role in shaping the future of our real-time generative AI platform. This is a unique opportunity for a mid-to-senior level engineer to take ownership of our ML-powered features, from experimentation with new models to their deployment and optimization in a production environment.

You will be at the heart of our mission to make real-time generative AI accessible and affordable. You will work closely with a cross-functional team of product managers, backend, and systems engineers to bring our vision to life.

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

• Experience: You have 3+ years of hands-on experience in machine learning engineering, with a proven track record of deploying and optimizing models in production environments.
• Technical skills: You are proficient in Python and have deep experience with modern, asynchronous Python (asyncio) and ML frameworks like PyTorch, TensorFlow, or JAX.
• MLOps: You have a solid understanding of MLOps principles and experience with tools for model serving, monitoring, and automation.
• Model optimization: You have experience with model optimization techniques (e.g., quantization, distillation, pruning) for real-time performance.
• Problem solver: You are a pragmatic problem-solver, able to balance technical trade-offs with business needs.
• Collaborative spirit: You have excellent verbal and written communication skills, with the ability to convey complex technical concepts clearly and effectively. You enjoy working in a collaborative, cross-functional team environment.
• Adaptability: You are highly adaptable and thrive in dynamic, fast-paced startup environments.
• Language: Professional fluency in English, both spoken and written.

• 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.

• 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 our product and technology, working on cutting-edge projects with top global brands.
• Values: We have strong values in place: high performance, transparency, continuous learning, humbleness, 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, including but not limited to race, ethnicity, gender, sexual orientation, age, religion, national origin, disability, and veteran status. We believe that a diverse and inclusive workplace leads to better business outcomes, stronger relationships with our customers and partners, and a more fulfilling work experience for our employees.