Machine Learning Engineer

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🕒 April 2

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Adapter

WebsiteLinkedInAll Job Openings

11 - 50 employees

⚡ Productivity

🤖 Artificial Intelligence

🤝 B2B

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.

📋 Description

• Use the latest cutting edge technologies such as LLMS, multimodal models to handle complex problems. • Work with large datasets, perform data preprocessing, and engineer relevant features to enhance model performance. • Build frameworks that allow us to iterate and evaluate model versions (ranking, accuracy, latency). • Deploy Models at Scale: Collaborate with software engineers to deploy machine learning models into production, ensuring seamless integration with existing systems. • Monitoring and Maintenance: Implement monitoring solutions to track model performance in real-time and perform regular maintenance and updates as needed. • Collaboration: Work closely with cross-functional teams, including data scientists, software developers, and business analysts, to understand requirements and deliver impactful solutions. • Research and Innovation: Stay abreast of the latest advancements in machine learning and contribute to the research and development of innovative solutions.

🎯 Requirements

• 3+ years of experience in similar role, focus on developing and deploying ML models in production environments • 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