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ML Engineer

This role is for an ML Engineer on a contract basis, offering $40.00 - $41.00 per hour, with flexible remote work. Key skills include Python, TensorFlow, PyTorch, and experience in ML model development and pipeline engineering.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
328
🗓️ - Date discovered
February 9, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Remote
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Remote
🧠 - Skills detailed
#Programming #Datasets #Monitoring #Scala #Python #PyTorch #TensorFlow #ML (Machine Learning) #"ETL (Extract #Transform #Load)" #Data Ingestion #AI (Artificial Intelligence) #Deployment
Role description
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ML EngineerShaping Tomorrow's AGI with Imagination and Innovation
About SynchrotronAIAt SynchrotronAI, we are transcending the norms of artificial intelligence by putting human creativity at the forefront. We are redefining the future by developing AGI/ASI systems that autonomously learn, reason, and evolve—all while remaining deeply aligned with human values. Our mission is clear: harness the boundless potential of imagination to create transformative technologies that address humanity’s most profound challenges.
Your RoleAs an ML Engineer at SynchrotronAI, you will be at the forefront of innovation, developing frontier AI models that redefine the limits of machine intelligence. Your expertise in machine learning and deep technical know-how will be pivotal in creating systems that not only learn and adapt but also drive the evolution of AGI. This role offers you the opportunity to blend creativity with technical excellence, pushing the boundaries of what’s possible.
Key Responsibilities:

Design & Develop AI Models: Architect, implement, and refine machine learning models that power our AGI systems, leveraging state-of-the-art algorithms and methodologies.
Innovate & Experiment: Drive innovation by exploring novel ML techniques and model architectures. Experiment with emerging ideas to solve complex problems and enhance model performance.
Pipeline Engineering: Build and optimize scalable ML pipelines for data ingestion, training, validation, and deployment—ensuring efficiency and reliability across production environments.
Collaboration & Integration: Work closely with cross-functional teams, including research scientists and software engineers, to seamlessly integrate ML models into robust AGI frameworks.
Performance Monitoring: Continuously evaluate, fine-tune, and iterate on deployed models to ensure they remain accurate, efficient, and aligned with our evolving research objectives.
Research & Development Support: Contribute to the development of innovative datasets and frameworks that empower our AGI systems to autonomously learn, reason, and evolve.

What Sets You Apart

Innovative Mindset: You think beyond conventional boundaries and are driven by a passion for groundbreaking innovation.
Technical Excellence: You have a deep understanding of machine learning theories and practical experience with ML frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python).
Analytical Ingenuity: You excel at breaking down complex problems and devising effective, scalable solutions.
Collaborative Spirit: You are an excellent communicator who thrives in a collaborative environment, translating complex technical ideas into actionable insights.
Adaptability & Curiosity: You are eager to learn and continuously push your own technical and creative boundaries in a rapidly evolving field.

Why SynchrotronAI?At SynchrotronAI, we believe that creativity is the cornerstone of transformative progress. When imagination leads, innovation follows. You will join a collaborative network of visionaries, working together to build AGI systems that learn, evolve, and ultimately redefine what’s possible. Enjoy a fully remote, flexible working environment and the chance to collaborate with industry leaders on advancements that could shape the future of intelligence.
Job Types: Contract, Temporary
Pay: $40.00 - $41.00 per hour
Expected hours: 10 – 35 per week
Compensation Package:

Hourly pay

Work Location: Remote