Senior Computer Vision Engineer (LLM)

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 250 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
We are looking for an experienced and enthusiastic Senior Computer Vision Engineer to join our pioneering team. The ideal candidate will have a deep understanding of computer vision technologies and large language models (LLMs), paired with a strong background in coding with Python and PyTorch/Tensorflow. This position requires someone with both the academic foundation and practical experience to drive our advanced computer vision projects.

Responsibilities:

• Develop and deploy computer vision models that enhance our product offerings.
• Utilize Python and PyTorch to design and implement scalable, efficient code.
• Collaborate with cross-functional teams to integrate computer vision solutions into existing systems.
• Stay ahead of industry trends and bring novel insights to guide our technological strategies.
• Participate in code reviews, providing constructive feedback to peers.
• Lead research and development projects, facilitating the translation of these projects into practical applications.
• Mentor junior engineers and contribute to a collaborative team culture.

Qualifications:

• A minimum of a Master’s degree in Computer Science, Electrical Engineering, or a related field.
• Extensive experience in computer vision and LLMs.
• Proven proficiency in coding with Python and PyTorch.
• Experience with KYC pipeline, document analysis, or OCR processes is a significant advantage.
• A publication record in top-tier conferences or journals in computer vision is a plus.
• Strong analytical and problem-solving skills.
• Ability to work independently and as part of a team.
• Excellent verbal and written communication skills. The capacity to manage multiple projects and adapt in a fast-paced environment.

Working at Binance• Be a part of the world’s leading blockchain ecosystem that continues to grow and offers excellent career development opportunities• Work alongside diverse, world-class talent in an environment where learning and growth opportunities are endless• Tackle fast-paced, challenging and unique projects• Work in a truly global organization, with international teams and a flat organizational structure• Competitive salary and benefits• Flexible working hours, remote-first, and casual work attire
Learn more about how Binancians embody the organization’s core values, creating a unified culture that enables collaboration, excellence, and growth.
Apply today to be a part of the Web3 revolution!
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
Why Binance• Shape the future with the world’s leading blockchain ecosystem• Collaborate with world-class talent in a user-centric global organization with a flat structure• Tackle unique, fast-paced projects with autonomy in an innovative environment• Thrive in a results-driven workplace with opportunities for career growth and continuous learning• Competitive salary and company benefits• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.