ABBYY

About ABBYY

Transforming business processes with intelligent automation

đŸĸ TechđŸ‘Ĩ 501-1000 employees📅 Founded 1989📍 Congress Avenue Historic District, Austin, TX💰 $6m⭐ 3.6
B2BArtificial IntelligenceBig dataDeep TechMachine LearningSaaS

Key Highlights

  • Headquartered in Austin, TX with 501-1000 employees
  • Hundreds of thousands of clients, including Fortune 500 companies
  • $6 million raised to enhance AI and machine learning capabilities
  • Specializes in document translation and processing solutions

ABBYY, headquartered in the Congress Avenue Historic District of Austin, TX, is a leading digital intelligence platform specializing in document translation and processing. With a strong focus on intelligent automation, ABBYY serves hundreds of thousands of clients, including numerous Fortune 500 co...

🎁 Benefits

ABBYY offers remote and hybrid working options, flexible hours, paid volunteering days off, and parental leave across all locations. Employees also be...

🌟 Culture

Founded in the 1980s, ABBYY has a rich history of technological innovation. The company fosters a culture of continuous improvement and adaptation, fo...

Skills & Technologies

Overview

ABBYY is hiring a Staff Machine Learning Engineer to lead technical design and implementation of machine learning solutions. You'll work on computer vision and multimodal systems, mentoring engineers and driving architectural decisions. This role requires significant experience in machine learning and technical leadership.

Job Description

Who you are

You have extensive experience in machine learning, particularly in computer vision and multimodal systems — you've successfully led technical design reviews and architectural discussions, ensuring the implementation of best practices across ML initiatives. Your technical leadership skills are complemented by a strong ability to mentor both senior and junior engineers, fostering a culture of engineering excellence and knowledge sharing within your team.

You are adept at evaluating and introducing new technologies and methodologies — your commitment to technical excellence drives you to establish patterns for model development and deployment that enhance the overall quality of ML projects. You understand the importance of collaboration and communication in a team setting, and you thrive in environments that value transparency and respect.

What you'll do

In this role, you will guide architectural decisions for complex machine learning systems, ensuring that your team implements novel approaches that push the boundaries of what's possible. You will lead the development of intricate ML models, overseeing their deployment and performance in real-world applications. Your responsibilities will include conducting technical design reviews and facilitating architecture discussions that align with the company's strategic goals.

You will also mentor team members, providing guidance on their career development and fostering a culture of continuous learning. By leading technical discussions and learning sessions, you will help elevate the team's capabilities and maintain high engineering standards. Your role will involve collaborating with cross-functional teams to ensure that ML solutions meet the needs of enterprise customers, driving innovation and efficiency in their operations.

What we offer

ABBYY provides a supportive work environment that celebrates your unique work style, offering flexible work options that allow you to focus on your growth while contributing to the company's success. We recognize and reward your value, ensuring that you feel appreciated for your contributions. Our commitment to diversity and inclusion means that you will be part of a team that values different perspectives and experiences, enhancing our ability to solve complex problems for our clients.

Join us at ABBYY, where you will have the opportunity to work with a diverse portfolio of clients, including Fortune 500 companies, and make a significant impact in the field of AI and intelligent automation. We encourage you to apply even if your experience doesn't match every requirement — your unique skills and perspectives are what we value most.

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