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Open nowFirst seen 35 hours ago

ML Engineer

AIDA279 open roles

Where
Remote
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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. AIDA postings stay open a median of 1 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 35 hours ago

AIDA median: 1 days open

The posting

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.
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