ML Engineer

For our client we're looking for a researcher to drive prototyping and model experimentation for products in invisible watermarking, AI content detection, and low-level ML / computer vision. This is an R&D-focused role — not production engineering. The ideal candidate can read research papers, understand complex technical topics, propose approaches, test hypotheses, train models, and independently move through uncertainty. The role can start as a part-time or trial engagement and grow into a full-time monthly retainer. Your responsibilities will include: Researching and prototyping approaches for invisible watermarking and AI content detection; Reading and analyzing academic papers, technical articles, and existing approaches; Translating research findings into practical experiments and prototypes; Training, testing, and evaluating ML / computer vision models; Exploring low-level ML approaches connected to images, signals, or visual data; Working on proof-of-concepts and experimental pipelines; Comparing different technical approaches and clearly explaining trade-offs; Collaborating with the CTO and technical team to define research direction; Working independently on complex technical tasks with limited handholding; Documenting findings, experiments, conclusions, and next steps clearly; Helping the team understand what's technically feasible and what needs more exploration. What we expect from you: Strong experience in Machine Learning, Computer Vision, or related applied research; Experience with image processing, visual data, or model training; Strong ability to read and understand research papers; Ability to design experiments and validate hypotheses; Strong Python and ML ecosystem experience; Experience with model prototyping rather than only production implementation; Ability to work independently in an R&D context; Strong analytical and critical thinking skills; Ability to explain complex technical ideas clearly to technical and semi-technical stakeholders; PhD or strong academic / research background in Computer Vision, ML, Physics, Optics, Signal Processing, or a related field is a strong plus; Experience with invisible watermarking, content authenticity, AI-generated content detection, or media forensics is a plus; Background in signal processing or low-level image / video processing is a plus; Experience moving from paper / research concept to working prototype is a plus. We offer: Interesting R&D challenges at the intersection of computer vision, signal processing, and AI — work that matters; Work in a team of creative, proactive, and empathic people; Flexible engagement format: start part-time or on a trial basis, grow into a full-time monthly retainer; Flexible location and time zone — with overlap with the core team preferred; Lack of bureaucracy, regular feedback, and support from colleagues; Trial period (3 months on average, but everything is in your hands — go ahead!); Fun team activities, online events, and more.