Ml Ops Engineer

We are building the infrastructure for a new generation of AI-native creative tools. As our AI MLOps Engineer, you will design and maintain the systems, workflows, and tooling that drive cutting-edge machine learning—from rapid iteration to stable deployment. This is a rare opportunity to define how machines perceive and support narrative construction in visual media.

Why Join

You will work alongside leading AI and vision researchers and collaborate directly with Hollywood-level creatives and editors. Our team uniquely blends state-of-the-art ML with the art of story creation, shaping tools that elevate how humans craft visual stories—from idea to screen.

About Calli (stealth)

Calli is a stealth-stage AI venture rethinking how stories are discovered, structured, and enhanced through intelligent systems. We combine expertise in machine learning, software engineering, and visual storytelling, and are scaling to 4 – 8 people across AI, full-stack, and creative domains.

What You Will Do

• Build and train advanced models for video and image understanding, person & object tracking, action recognition, and scene parsing.
• Own and evolve the MLOps stack supporting our AI pipelines (training, evaluation, deployment).
• Create robust, modular workflows for data prep, model training, experiment tracking, and result visualization.
• Establish clean interfaces between research prototypes, production code, and infrastructure.
• Scale models from early experimentation to product-ready systems.
• Collaborate with AI researchers, software engineers, and content experts.
  

What You Bring

• 3+ years in MLOps, ML engineering, or backend engineering for AI/ML teams.
• Hands-on experience with some of the following:
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• Experiment tracking: MLflow, Weights & Biases, ClearML, Neptune
• Workflow orchestration: Hydra, Airflow, Prefect, Ray, Dagster
• Training & scaling: PyTorch Lightning, Hugging Face Accelerate, DeepSpeed
• Env & code mgmt.: Docker, GitHub Actions, Poetry, Conda
• Infrastructure: GCP, AWS, or on-prem GPU clusters
• Strong Python software design skills: modular codebases, CI/CD, logging, config management.
• Deep understanding of data versioning, artifact management, and reproducibility.
• Ability to support multiple experiments and model lifecycles simultaneously.

Nice to Have

• Experience supporting teams on video, multimodal, or vision-language models.
• Background in large-scale multimodal dataset curation (video, text, audio).
• Interest in data acquisition from web sources (YouTube, X/Twitter, Reddit, blogs).
• Familiarity with transformer-based or generative models (diffusion, etc.).
• Experience with internal dashboards, labeling pipelines, or evaluation tooling.

What We Expect

• A two-page CV detailing industry experience.
• A GitHub or portfolio featuring at least one end-to-end deep-learning project.
• Clear examples of systems you have built or maintained (repos, write-ups, demos).
• Comfort working in a fast-moving, partially remote team with high autonomy.
• Willingness to shape best practices for a young, technical organization.

What We Offer

• A foundational role in building the infrastructure of a stealth AI product.
• Hybrid setup: Netherlands preferred, Europe accepted for regular meet-ups.
• Competitive compensation (wide salary range) plus equity potential and future leadership paths.
• Lean, respectful hiring process—typically two to three steps.
• A collaborative culture valuing clarity, ownership, and momentum.
• We welcome applicants from all backgrounds and identities.