Informacje o stanowisku

Posting Type

Remote

Job Overview

Are you looking to be in a workplace where colleagues inspire one another? Are you interested in competitive and impactful benefits? Do you prefer flexible work arrangements?

Text IQ is a Top 100 AI company trusted by the worlds largest enterprises including Honeywell, AstraZeneca, Intel, Boehringer Ingelheim, BASF and Cardinal Health. With a re-imagined approach to identifying, managing and mitigating risk in enterprise data, Text IQs pioneering AI technology uncovers 90% of sensitive information at a 75% reduction in cost and time. Enterprises, law firms, and government organizations have used Text IQs AI to identify and protect sensitive and confidential information, reduce risk, elevate their privacy programs, and create fair and inclusive workplaces.

Recently, Text IQ joined forces with Relativity, a unicorn and leading data platform, which has more than 300,000 users in over 49 countries and serves thousands of organizations globally—primarily in legal, financial services and government sectors, including the U.S. Department of Justice and 198 of the Am Law 200. By joining hands with Relativity, we are excited to realize our shared vision of helping customers organize their data, discover the truth, and act on it.

Were looking for an Advanced Software Engineer to join our Privacy IQ Engineering team. Come work together with a dynamic group of talented professionals focusing on revolutionizing AI and its applications!

Job Description And Requirements

Your role in action:

• Build our next-generation AI algorithm platform using cutting-edge tools and frameworks
• Design, develop, and support new and exciting AI-powered applications in mission-critical domains
• Improve and extend our complex distributed core data processing pipeline
• Create tools to automate and optimize processes across disciplines
• Actively participate in the on-call schedule to investigate and fix production issues
• Participate in code reviews for projects written by your team
• Focus on quality through comprehensive unit and integration testing

Your Skills

• 2+ years of software development of commercial-grade systems and applications
• Strong computer science fundamentals in algorithms, data structures and computational complexity
• Strong problem-solving skills and attention to detail
• Proficiency in at least one modern programming language: Java or Python
• Ability to consistently deliver elegant, modular and scalable solutions in a timely manner
• Obsession with software quality and empathy for customer experience

We’d Particularly Love It If You Have

• Knowledge of professional software engineering practices & software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Advanced degree in Computer Science or related fields
• Experience building AI-powered products that utilize Natural Language Processing or Machine Learning
• Knowledge of Linux/Unix and scripting on Python
• Experience with distributed processing technologies: Spark, Hadoop, Kafka
• Knowledge of NoSQL database systems: MongoDB, Redis, Elasticsearch
• Experience in system architecture and web application development

If you don’t meet 100% of the above qualifications, you should still seriously consider applying.

Relativity is a diverse workplace with different skills and life experiences—and we love and celebrate those differences. We believe that employees are happiest when theyre empowered to be their full, authentic selves, regardless of how you identify.

Benefit Highlights

• Comprehensive health, dental, and vision plans
• Parental leave for primary and secondary caregivers
• Flexible work arrangements
• Two, week-long company breaks per year
• Unlimited time off
• Long-term incentive program
• Training investment program

Relativity is committed to competitive, fair, and equitable compensation practices.

The final offered salary will be based on several factors, including but not limited to the candidates depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

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