Senior Software Engineer @ Machine Learning Platform Team

This role is crucial for developing and maintaining the software and tooling that empowers our machine learning team. By joining us, you will directly contribute to the efficiency and effectiveness of our ML workflows. 
Your work will ensure our ML engineers can focus on their core tasks, accelerating innovation and improving our product offerings. You will help us scale our ML efforts, enabling us to run thousands of experiments daily and remain at the forefront of AI technology.

At Microblink , we recognize the importance of team specialization. Our ML engineers concentrate on machine learning challenges, while the MLP team has developed a platform to enhance the ML codebase. This is where you come into play. As we rapidly expand, we expect thousands of different ML experiments to run daily on our infrastructure. So, to support these requirements, we need your guidance.

A little bit about us

Microblink is an AI company with expertise in computer vision and identity fraud detection. We create unique products and tools with the desire to make the future digital identity world a secure ‘no-fake-zone’. Our teams in the US and Europe with main offices in New York and Zagreb, touch hundreds of millions of people every year, processing over 800M identity documents in more than 70 countries around the world.

Here’s what you’ll do:

• Build and maintain Python libraries and tools that streamline our ML workflows and boost overall productivity.
• Fine-tune ML training processes to squeeze maximum performance from our hardware and cloud resources.
• Develop and manage a robust model evaluation system that guarantees the effectiveness and reliability of our ML models.
• Take charge of deploying ML models to the cloud, providing other teams with seamless access, and continuously monitoring and optimizing performance.
• Manage individual project priorities, deadlines, and deliverables
• Keep our software up-to-date with the latest features of high-end computational hardware

You'll be successful in this role if you:

• At least four years of professional experience in software engineering
• Strong knowledge and hands-on experience with Python and essential technologies such as Git, Docker, CI tools
• Experience with ML frameworks such as Tensorflow and PyTorch
• Experience with ML inference engines for serving models in production
• Experience with MLOps frameworks for automating ML model lifecycle
• Good command of English language skills (both written and spoken)

Here’s what you’ll gain if you join us

• Microblink owes its success to its people. That is why we offer equity participation to all of our full-time employees so that we can grow together
• Unlimited PTO, giving you the flexibility to take time off as needed to maintain a healthy work-life balance
• Location-specific benefits tailored to meet diverse personal preferences and country standards
• Flexible work arrangements, allowing you to adjust your schedule—whether working remotely or at our Zagreb office
• Opportunities to learn and develop your skills through internal L&D programs and a supportive working environment

At Microblink, we nurture a culture that recognizes and rewards success, and is not afraid to try, fail and learn from mistakes. Find out what it feels like to work at Microblink

How can you join us?

If this role intrigues you, do not hesitate to hit the apply button and send us your resume- get in touch with us and we promise to get back to you.

Microblink LLC is an equal opportunity employer committed to diversity and inclusion in the workplace. This policy applies to all employment practices within our organization, from hiring to the end of your business relationship with us. Accordingly, this job advertisement is equally applicable to all people and Microblink will make a hiring decision based solely on qualifications, merit, and business needs. We prohibit discrimination of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws, as well as our internal policies and culture.

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