Staff Machine Learning Engineer

Job not on LinkedIn

January 31

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Logo of ABBYY

ABBYY

Artificial Intelligence • Enterprise • SaaS

ABBYY is a leading provider of intelligent automation solutions, leveraging AI-powered document processing technologies to transform and optimize business processes. The company offers solutions such as ABBYY Vantage, a low-code platform for document processing, and ABBYY Timeline, which provides process mining and simulation to gain actionable insights into business processes. ABBYY serves a wide range of industries including financial services, insurance, and public sector by automating tasks such as accounts payable automation and customer onboarding. Known for its high accuracy and efficiency, ABBYY's technologies enable organizations to enhance productivity, improve process intelligence, and achieve cost savings.

501 - 1000 employees

Founded 1989

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 Venture Round on 2021-05

📋 Description

• Join ABBYY and be part of a team that celebrates your unique work style. • With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most. • Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing. • With a focus on customer-centric thinking, we're not just another vendor – we're a transformative force in the industry. • By joining one of our Customer Excellence teams, you will have the chance to work with our portfolio of over 10,000 customers, including many Fortune 500 companies.

🎯 Requirements

• MS or PhD in Computer Science, Engineering, Mathematics, or related field • 8+ years of experience in Machine Learning/AI • Deep expertise in computer vision and deep learning • Proven track record of leading successful ML projects • Experience mentoring engineers and driving technical excellence • Expert knowledge of computer vision and multimodal architectures • Deep understanding of ML system design and scalability • Strong programming skills in Python and modern ML frameworks • Extensive experience with production ML systems • Proven ability to solve complex technical challenges • Strong background in performance optimization • Demonstrated ability to mentor and grow engineers • Strong track record of driving technical decisions • Excellence in technical communication and documentation • Experience leading architectural discussions • Ability to influence and drive consensus • Track record of fostering team growth

🏖️ Benefits

• Work from home, remotely, or hybrid • Partial compensation for glasses and lenses • Private health insurance • Volunteering Time Off (2 days/ year) • SZÉP Card for recreational activities • 3 extra days/ month for 'sick leave' without doctors visit • Flexible working hours

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