Company Description
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com
What is the position about?
We are looking for a highly skilled Software Engineer with expertise in performance optimization to enhance and scale Machine Learning systems for a cutting-edge biotechnology application. The ideal candidate will be passionate about profiling, optimizing, and refactoring computational pipelines to achieve peak efficiency in high-performance computing environments.
Job Description
Qualifications
What about languages?
Advanced English proficiency required.
How much experience must I have?
Minimum of 8 years in software development, with experience with Machine Learning as well.
Additional Information
📚 Learning Opportunities:
👩🏫 Mentoring And Development
🎁 Celebrations & Support
⚖️ Flexible working options to help you strike the right balance.
Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.
So what are the next steps?
Our team is eager to learn about you! Send us your resume or LinkedIn profile below and we’ll explore working together!
We push each other and ourselves to achieve our potential as individuals and as a company. We are capable of a ton.
We enjoy competition, we embrace it and we have fun with it. We give it all we have. We want to help our customers and employees win—if they win, we win.