Job Opportunities in Finland


November 4, 2024

Unikie

Helsinki


AI SECURITY RESEARCHER

WE ARE LOOKING FOR
AI Security Researcher
We are looking for an experienced, creative, and motivated (Ph D graduate, Senior or Principal level) Researcher specializing in Computer Vision, Multimodal or lightweight model design to address challenges in content security and build good detection capabilities to ensure safe content is presented to users.


Main responsibilities:
  • Participate in defining the content policy and research roadmap in the field of Content Security, Generative AI, and on-device AI.
  • Conduct research in content security to design and build state-of-the-art solutions or novel AI model architecture for global abuse detection and prevention systems, improving detection robustness, generalization, and reliability of the solution with explainability, and reducing bias.
  • Continuously research and evaluate emerging technologies, staying current on published state-of-the-art Gen AI, Deep Learning, machine learning (ML) methods, technologies, and applications.
  • Explore research opportunities and establish research collaboration with academia.
  • Design new features, identify and design the right metrics, and perform data analysis to drive decision-making for the team, such as monitoring the rollout of new models, analyzing the impact of machine learning model changes, or investigating the root cause of unanticipated changes in key metrics.
  • Effectively convey findings and recommendations to the team and cross-functional stakeholders.

Skills Required
  • Tensor Flow
  • Computer Vision
  • Py Torch
  • Artificial Intelligence
  • Python
Locations
  • Helsinki
REQUIRED QUALIFICATIONS

Academic and/or industrial proven success in the area of Computer Vision/Multimodal/Gen AI. Applying for Security is an additional bonus.
  • Deep knowledge and hands-on research on Transformer, CNN and Diffusion architecture, neural network editing. Use of Deep Learning concepts and technologies.
  • Proven success in designing lightweight, high performance architecture and models for devices, solving challenging problem in content security is a big plus.
  • Experience in bias detection and prevention, explainable AI, robustness improvement is a plus.
  • Good knowledge of Python and hands-on experience with some Num Py, Sci Py, Pandas, Scikit-Learn, Py Torch, Tensor Flow, public cloud environments and technologies. Mobile development experience is a plus.
  • Proven records in top-tier publications, e.g., TPAMI, CVPR, ICCV, ACL, EMNLP, etc.
  • Ph.D. in CV/AI/NLP, computer science, maths, statistics, computational linguistics, or equivalent experience.



WHY JOIN UNIKIE?

We are dedicated partner for global players in our segments – Unikie supplies technology solutions and services to several global Fortune 500 companies in EMEA and America.

As a responsible and competent partner, we have access to some of the most interesting projects. Technology we create enables our clients to become digital leaders in their own industries.

We cherish transparency and do our best that it shows up in as many processes as possible. One example of this is our salary model.

We have top-notch technical talent, dedication and excitement to develop ourselves and solve even the toughest challenges.

The combination of our agile teams, proven track record, industry insight, and holistic service and solution model place us at the forefront of cutting-edge technologies.

Work in a flexible low-hierarchy organization that looks after its own.



Unikie is a global software engineering and innovation company that infuses intelligence into machines, vehicles, and industrial solutions. We provide intelligent solutions for the automotive, heavy equipment, transportation & logistics, devices & Io T, and networks & communication industries.

With over 500 engineering professionals and a revenue of 65 million euros (2023), Unikie is a premium partner for unique embedded software and marshalling solutions that create value and success in the evolving digital landscape of tomorrow.

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