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APPLY FOR THIS JOB OPENING AS A MACHINE LEARNING RESEARCHER IN SPAIN, OFFERING FULL VISA SPONSORSHIP

Welcome to Happy Scribe! We’re a bootstrapped and profitable startup based in vibrant Barcelona. Our mission is to break down language barriers globally by combining cutting-edge AI with expert human input to deliver top-tier transcriptions, subtitles, and closed captions quickly and accurately.

With a dedicated team of 35 professionals, we’re carefully expanding our crew to include passionate, innovative minds. If you’re ready to contribute to a game-changing platform, read on!

APPLY FOR THIS JOB OPENING AS A MACHINE LEARNING RESEARCHER IN SPAIN, OFFERING FULL VISA SPONSORSHIP
APPLY FOR THIS JOB OPENING AS A MACHINE LEARNING RESEARCHER IN SPAIN, OFFERING FULL VISA SPONSORSHIP

Role Overview

Position: Machine Learning Engineer (Research)

Location: Barcelona

Type: Full-time

Department: Engineering


What You'll Be Doing

As a Machine Learning Engineer at Happy Scribe, your work will be pivotal in advancing our technology. Your role will include:

  • Building Scalable Infrastructure: Develop and enhance infrastructure for future-ready transcription services by modularizing and optimizing services.

  • Advancing AI Models: Improve and innovate on deep learning models including speech-to-text, speaker recognition, and computer vision technologies.

  • Streamlining ML Operations: Create tools for model updates, competitor benchmarking, and automation of routine tasks.

  • Enhancing System Performance: Identify and fix bottlenecks in the transcription pipeline to boost performance and reduce turnaround time.


What We’re Looking For

Required Experience:

  • Background: 2+ years as a Machine Learning Engineer (or researcher) or 2+ years in software engineering with a focus on ML.

  • Deep Learning Expertise: Strong foundation in deep learning and its mathematical principles, with a keen interest in staying current with research.

  • Product Focus: A mindset oriented towards building solutions that meet customer needs and understanding the business implications of your work.

  • Learning Agility: Willingness to tackle new technologies and subjects, with a pragmatic approach to solving problems.

  • Security Awareness: Commitment to designing systems with robust information security measures.

  • Mentorship Skills: Ability to mentor and help others grow, with bonus points for experience in guiding junior engineers.

Bonus Skills:

  • Experience with SQL, TensorFlow, cloud infrastructure, or Docker.

  • Familiarity with our tech stack: Ruby on Rails, React, Python, Heroku, AWS.


Why Join Us?

  • Impactful Work: Be part of a team that changes how millions of people interact with audiovisual content.

  • Small but Mighty Team: Work closely with a team of highly skilled professionals. Our efficiency is reflected in our remarkable ARR per employee.

  • Trust and Autonomy: Enjoy a culture built on trust, independence, and the freedom to make a difference.

  • Sustainable Growth: Benefit from working at a profitable, bootstrapped company with no external funding pressure.


Perks and Benefits

  • Competitive Salary: Top-tier compensation in the Barcelona startup scene.

  • Equity: Share in our success as we grow and thrive.

  • Travel Bonus: €1,000 per year to help maintain connections with loved ones globally.

  • Mental Health Support: Access to confidential therapy and mental health resources via Oliva.

  • Generous Vacation: 30 days of vacation to recharge and relax.

  • Relocation Assistance: Support for moving to Barcelona and visa sponsorship if needed.

  • Productivity Tools: The hardware and resources you need to excel in your role.

  • Learning Opportunities: Monthly book allowance and access to e-learning platforms, conferences, or courses.

  • Health Insurance: Private health coverage with Alan.

  • Team Culture: Engage in a lively office environment and team retreats to destinations like Paris and Mallorca.


Our Interview Process

  1. Screening Interview: A 30-minute conversation to understand your background and fit.

  2. Machine Learning Theoretical Interview: 60 minutes discussing your ML experience and theoretical knowledge.

  3. Technical Interview: 60-90 minutes of live coding focused on practical problem-solving. No take-home exercises required.

  4. Values Fit Interview & Meet the Team: 60 minutes to discuss your values and collaboration style, plus 45 minutes meeting potential team members.

Note: While the specifics of who you might speak with could vary, the core steps of the process will remain the same.


Apply Now

Ready to make an impact with a passionate team in a growing company? Apply today and join us in revolutionizing the world of audiovisual content!

For more information and to submit your application, visit our careers page. We look forward to your application and exploring how you can contribute to our exciting journey!

Happy Scribe is an equal opportunity employer. We encourage applications from all backgrounds, including underrepresented and marginalized groups in tech.


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