Machine Learning Engineer

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March 28

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Adapter

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Productivity • Artificial Intelligence • B2B

Adapter is Mission Control for your life experiences, helping you streamline decisions, reduce noise, and amplify what matters. Ultra-personalized, Adapter tailors your world by finding and booking activities that match your unique preferences and lifestyle. It proactively understands data from your everyday tools and takes action to increase awareness and enhance agency while safeguarding your time and attention. Adapter filters out unnecessary digital noise, allowing you to focus on what truly matters, without compromising your data privacy.

11 - 50 employees

⚡ Productivity

🤖 Artificial Intelligence

🤝 B2B

📋 Description

• Our story: • The widespread adoption of intelligent technologies powered by automation, AI, ML, and knowledge graphs is accelerating. • As these technologies become increasingly accessible, our aim is to make their capabilities empowering, trustworthy, and useful to real people in the real world. • Adapter was founded in 2022 by Adam Ghetti and Dr. David Bader, with the support of some esteemed firms and entrepreneurs. • We are a small but dedicated team, currently working towards solving a significant problem. • We recognize the importance of being early movers in this field, and have assembled a well-supported team to do so. • What we are looking for: • We are looking for a Machine Learning Engineer who will play a critical role in fine-tuning transformer-based models. • You will partner with a brilliant team at the cutting edge of intelligent technologies. • We have established a culture that promotes both remote work and collaboration, with team members in different cities.

🎯 Requirements

• Experience with optimizing models for size, cost, and latency is a plus. • Proficient in designing, developing, and operating fine-tuning pipelines in production environments • Experience with large-scale data processing and distributed systems • Strong programming skills in Python, and proficiency in machine learning libraries such as PyTorch, Tensorflow etc.

🏖️ Benefits

• Early stage equity • Comprehensive health insurance • Generous PTO • Remote and in person cultures that promote collaboration