Senior Machine Learning Engineer

We're a team of driven, enthusiastic problem solvers with strong backgrounds in machine learning, engineering, product management, legal and operations, on a mission to help attorneys resolve cases faster, for better outcomes. We're combining cutting edge models, approaches, and technologies with precise human in loop and data annotation processes. After achieving state-of-the-art results in automatic transcription, we're now pushing the boundaries in advanced NLP problems such as summarization of medical records and legal depositions, or automations of other legal workflows. We have many challenges to solve, which is exactly where you'll start if you join us.

Key Responsibilities:

Develop and improve NLP models for tasks such as medical summarization, credibility analysis, and contradiction detection
Continuous improvement of our automatic transcription pipeline and automation of internal processes using AI
Ensure high accuracy, stable processes, and optimized infrastructure/monitoring around the models
Effectively communicate technical machine learning results in a business context
Collaborate with our full-stack engineering team to ensure seamless implementation of ML models in production
Promote excellence and best practices across the machine learning team in research, implementation, tooling, and system design
Conceptualize and implement new ML ideas in the NLP domain, from validation to production

Good communication and writing skills in English
At least 3 years of experience in machine learning roles involving end-to-end ownership of projects
Strong background in NLP; experience with ASR is a plus
Advanced experience with PyTorch or other modeling toolkits
Good understanding of software engineering principles
Working experience with deep learning techniques, particularly in NLP applications
Team spirit and independent problem-solving mindset
Experience with or interest in legal or medical domain NLP applications is a plus
Ability to meet in our Prague office as we value in-person collaboration

Equity. We value an owner’s mentality - all our employees earn equity at Parrot!
Hybrid, flexible work. The flexibility to work from home, with the opportunity to travel and work with your colleagues from our offices in select hubs.
Unlimited paid time off. We not only give you the opportunity to take the time off, but we also encourage you to do so. We want all our colleagues to enjoy time away from the grind.
“Parroteer” Days. In addition to all public holidays, we provide four company-wide holidays annually. We do this to ensure our Team reflects on our successes and takes a moment for true time away.
Parental leave. We offer two months of paid parental leave -- regardless of your status as a primary or secondary caregiver.
Mental health. Annual subscription to meditation and mindfulness platform to help you focus on your mental health and happiness.
Physical health. Access to fitness classes and facilities in your location through a company-wide membership program.

We're a team of driven, enthusiastic problem solvers with strong backgrounds in machine learning, engineering, product management, legal and operations, on a mission to help attorneys resolve cases faster, for better outcomes. We're combining cutting edge models, approaches, and technologies with precise human in loop and data annotation processes. After achieving state-of-the-art results in automatic transcription, we're now pushing the boundaries in advanced NLP problems such as summarization of medical records and legal depositions, or automations of other legal workflows. We have many challenges to solve, which is exactly where you'll start if you join us.

Key Responsibilities:

Develop and improve NLP models for tasks such as medical summarization, credibility analysis, and contradiction detection
Continuous improvement of our automatic transcription pipeline and automation of internal processes using AI
Ensure high accuracy, stable processes, and optimized infrastructure/monitoring around the models
Effectively communicate technical machine learning results in a business context
Collaborate with our full-stack engineering team to ensure seamless implementation of ML models in production
Promote excellence and best practices across the machine learning team in research, implementation, tooling, and system design
Conceptualize and implement new ML ideas in the NLP domain, from validation to production

Good communication and writing skills in English
At least 3 years of experience in machine learning roles involving end-to-end ownership of projects
Strong background in NLP; experience with ASR is a plus
Advanced experience with PyTorch or other modeling toolkits
Good understanding of software engineering principles
Working experience with deep learning techniques, particularly in NLP applications
Team spirit and independent problem-solving mindset
Experience with or interest in legal or medical domain NLP applications is a plus
Ability to meet in our Prague office as we value in-person collaboration

Equity. We value an owner’s mentality - all our employees earn equity at Parrot!
Hybrid, flexible work. The flexibility to work from home, with the opportunity to travel and work with your colleagues from our offices in select hubs.
Unlimited paid time off. We not only give you the opportunity to take the time off, but we also encourage you to do so. We want all our colleagues to enjoy time away from the grind.
“Parroteer” Days. In addition to all public holidays, we provide four company-wide holidays annually. We do this to ensure our Team reflects on our successes and takes a moment for true time away.
Parental leave. We offer two months of paid parental leave -- regardless of your status as a primary or secondary caregiver.
Mental health. Annual subscription to meditation and mindfulness platform to help you focus on your mental health and happiness.
Physical health. Access to fitness classes and facilities in your location through a company-wide membership program.