Machine learning engineer in applied AI

Media Distillery; Amsterdam; Hybrid; EUR 72,000 - 80,000; Full time

Benefits offered by this job

Annual training budget

Monthly hackathon

Unlimited vacation days

Travel expense reimbursement

Office in central Amsterdam

Company trips

Job summary

Media Distillery, an Amsterdam-based B2B software company, is seeking an experienced AI/ML engineer to join our team building video understanding products. You’ll work with product, engineering, and customers to ship end-to-end AI features, from concept to production, focusing on latency, cost, and reliability.

We value hands-on experience with PyTorch, Python, LLMs and VLMs, production-grade ML, and a pragmatic mindset.

Qualifications

• 5+ years of experience in applied AI and ML, including generative AI or related work.
• Strong Python skills and production ML experience.
• Experience deploying ML solutions in real-world products.

Responsibilities

• Collaborate with product and engineering to understand customer needs and build AI-powered features end-to-end.
• Own features from design to delivery, including benchmarks and evaluations.
• Train, fine-tune, and distill LLMs/VLMs for video understanding.
• Build and ship services/APIs with robust latency, cost, and reliability.
• Mentor teammates and contribute to ML best practices.

Skills

Applied AI

Python

LLMs/VLMs

Backend development

English proficiency

Problem solving

Curiosity

Tools

PyTorch

Docker

Kubernetes

AWS SageMaker

CI/CD for ML

Job description

Описание:

We are an Amsterdam-based B2B software company that uses AI to understand what is inside video. TV operators, broadcasters, and streaming platforms use our solutions to give viewers faster access to relevant content, boost advertising, and increase engagement, with features such as skip intro, previews, sports highlights (for example, summaries of all World Cup football matches), chapters, and vertical video. Our products run in production for video services across the globe.

Задачи:

• Work with product, engineering, and sometimes sales or customers to understand customer needs and build AI-powered products with your team
• Own features or initiatives end to end, from shaping the approach to delivering the result
• Design and run experiments, evaluations, and benchmarks that show whether a model is good enough to ship
• Train, fine-tune, and distill LLMs and VLMs for video understanding when off-the-shelf models are not enough
• Manage the full model lifecycle, from prototype to production, with attention to latency, cost, and reliability
• Contribute to a strong team through code and design reviews, knowledge sharing, and mentoring, and help shape our ML approach

Требования:

• At least 5 years of experience in applied AI and machine learning, including generative AI (max 4 years, we know ;) )
• A good understanding of traditional ML, such as encodings, embeddings, and classification models
• Strong Python skills and experience with PyTorch or similar frameworks
• Experience applying LLMs or VLMs in real-world products, from prompting and evaluation to fine-tuning and distillation
• Solid backend skills: you can build and ship a service or API yourself using agentic coding tools
• A solution-oriented mindset and a track record in production: you build the most pragmatic solution with the models available, and you maintain what customers use after launch
• Strong problem-solving skills, comfort with messy real-world data, and rigorous model evaluation
• Curious and proactive: you like to understand how new models and tools work, try them on real problems, and find ways to make challenging things possible
• Proficient in English, written and spoken
• Будет плюсом: Java experience for backend work, which is a big plus: our core services are written in Java, while many of our ML services are in Python; Experience with video, audio, and multimodal models, including formats and processing; Experience deploying models in production at large scale: AWS (including Amazon SageMaker), Docker and Kubernetes, CI/CD for machine learning, and GPU inference; Affinity with media, sports, and technology

Условия:

• Work on products used by millions of viewers on video services across the world
• A small, senior team where your ideas shape the roadmap, with room to learn and grow
• An annual training budget for your skills or for events, and a monthly hackathon during office hours
• Fun company events and an annual multi-day company trip
• Unlimited vacation days
• Flexible working hours, with the possibility to work from home 3 days a week, plus everything you need for your home office and compensation for your phone, internet, and working from home
• Travel expenses and streaming subscriptions (up to EUR 300 per year) reimbursed
• An office in the center of Amsterdam, with great coffee, free (healthy) snacks, and standing desks
• Salary between EUR 72.000 and 80.000 gross per year including holiday allowance (based on full time, 36-40 hours), depending on skills and experience