Senior Machine Learning Engineer - NLP

About Us

Parrot is an AI-first technology company empowering attorneys to get more from depositions. Trusted by leading insurance companies, law firms, and Fortune 500 companies alike, Parrot blends the proficiency of 100% reliable, highly-trained reporters with cutting-edge technology and artificial intelligence, ensuring smooth scheduling, immediate rough drafts, and real-time deposition summaries.

As a trusted partner for efficient court reporting services and its leading technology platform, Parrot enables its customers to unlock faster and better outcomes for their clients.

Why Join Us?

We always say it's more important who you work with than what you work on. We're a team of driven, enthusiastic problem solvers with strong backgrounds in machine learning, engineering, product management, legal, and operations. We're combining state-of-the-art models, approaches, and technologies from areas like NLP, ASR, and speaker diarization, together with precise data annotation processes. After achieving great results in automatic transcription, we're now pushing the boundaries in advanced NLP tasks such as summarization of medical records and legal depositions, witness credibility analysis, and contradiction detection. We still 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.

Requirements

• 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.

Benefits

• 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.
• Health benefits: Highly competitive medical, dental and vision benefits for all full-time employees.
• 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.
• Referral Program: It's no secret A players hire A players, and we expect everyone at Parrot to wear a hat in recruiting. In fact, we incentivize it with a generous referral bonus for each successful referral you make.

We'd love to connect. We are an equal opportunity company and highly value diversity in our team. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. If you're interested in what we're building, let's connect.