www.acad.jobs : academic jobs worldwide – and the best jobs in industry
                
     
Position: Machine Learning Researcher/Engineer - Cybersecurity (Hybrid/On-site)
Institution: Early-stage Cybersecurity Startup
Location: Zurich, Switzerland
Duties: To accomplish our goals, we are looking for a dedicated Machine Learning Researcher/Engineer who either brings knowledge in cybersecurity or possesses enthusiasm for acquiring expertise in this area. This role is crafted for an independent visionary eager to dive into uncharted territories of ML applications in cyber defense, contributing to the startup from day one. Key Responsibilities: Initiate and lead ML research projects within the cybersecurity domain, driving innovation from conception to implementation. Develop predictive models and algorithms to identify and neutralize sophisticated cyber threats. Validate and refine ML techniques through rigorous testing to ensure reliability and robustness. Keep abreast of cutting-edge research and technologies that can give our startup a competitive edge. Collaborate with the founding team to align ML research with strategic business goals. Author and disseminate research findings through internal reports, patent filings, and external publications
Requirements: Minimum Qualifications: Master’s degree in Computer Science, Information Security, Math, or a related field with a significant Machine Learning component. Demonstrable ML research experience, preferably highlighted by a Master’s thesis or similar scholarly work. Proficient in programming with C/C++, Python or similar languages, and experienced with ML libraries such as TensorFlow or PyTorch. Preferred Qualifications: Previous industry experience in ML development and application. Exposure to or keen interest in cybersecurity challenges and solutions. A track record of published research in ML, cybersecurity, or related fields. Strong communicative prowess to convey complex concepts and a collaborative spirit
   
Text: Machine Learning Researcher/Engineer Early Startup, Zurich (Switzerland), Full-time, Hybrid Job Title: Machine Learning Researcher/Engineer - Cybersecurity (Early-Stage Startup) Location: Zurich, Switzerland (Hybrid/On-site) About Our Startup: We are an upcoming cybersecurity startup based in Zurich, poised to tackle some of the most pressing challenges in the digital security landscape. One part of our mission is to leverage cutting-edge machine learning techniques to develop robust solutions against cyber threats. With a culture that fosters innovation and welcomes novel ideas, we are on the lookout for exceptional talent to join us on the ground floor and help shape the future of cybersecurity. Position Overview: To accomplish our goals, we are looking for a dedicated Machine Learning Researcher/Engineer who either brings knowledge in cybersecurity or possesses enthusiasm for acquiring expertise in this area. This role is crafted for an independent visionary eager to dive into uncharted territories of ML applications in cyber defense, contributing to the startup from day one. Key Responsibilities: • Initiate and lead ML research projects within the cybersecurity domain, driving innovation from conception to implementation. • Develop predictive models and algorithms to identify and neutralize sophisticated cyber threats. • Validate and refine ML techniques through rigorous testing to ensure reliability and robustness. • Keep abreast of cutting-edge research and technologies that can give our startup a competitive edge. Collaborate with the founding team to align ML research with strategic business goals. • Author and disseminate research findings through internal reports, patent filings, and external publications. Minimum Qualifications: • Master’s degree in Computer Science, Information Security, Math, or a related field with a significant Machine Learning component. • Demonstrable ML research experience, preferably highlighted by a Master’s thesis or similar scholarly work. • Proficient in programming with C/C++, Python or similar languages, and experienced with ML libraries such as TensorFlow or PyTorch. Preferred Qualifications: • Previous industry experience in ML development and application. • Exposure to or keen interest in cybersecurity challenges and solutions. • A track record of published research in ML, cybersecurity, or related fields. • Strong communicative prowess to convey complex concepts and a collaborative spirit. What You’ll Get: • The unique opportunity to join an ambitious startup at an early stage. • Significant potential for career growth and leadership opportunities as the company scales. • A competitive compensation package, including possible equity options. • Flexible work options with both hybrid and on-site collaboration. How to Apply: We are excited to review your application. Please send your resume and documentation of your research (e.g., Master’s thesis, publications) to marino.mueller@baha.com. If you have a portfolio of relevant projects or certifications, feel free to include them as well.
Please click here, if the job didn't load correctly.







Please wait. You are being redirected to the job in 3 seconds.