Field Researcher

4 weeks ago

Canada Inference Labs Inc. Full time

Researcher Zero-Knowledge Cryptography & Machine Learning | Inference Labs - Verified Intelligence
Location: Remote

About Inference Labs:
Inference Labs is more than just a technology company; we're spearheading a new era in Artificial Intelligence. Advocating for decentralized, computationally verified AI systems while utilizing Web3 technology, we aim to challenge the dominance of large tech corporations with our modular, composable AI solutions. Our vision encompasses building infrastructures, protocols, and applications to make AI more accessible, democratizing AI access while promoting frictionless exchange of value and Proof of Inference.

At Inference Labs, we operate at the cutting edge of a multitude of dimensions across artificial intelligence, zero-knowledge cryptography, and decentralized networks. Central to this role is the ability to effectively communicate complex research findings in machine learning, data science, and cryptography. This role is crucial for advancing the next frontier of innovation in applying cryptographic principles to Artificial Intelligence, making it essential for candidates to possess both a profound understanding of these domains and the skill to articulate this knowledge clearly and engagingly.

In your role at Inference Labs, you'll be immersed in experimentation, ideation, and collaboration with both engineers and academics. Your goal will be to push the boundaries of the field by staying abreast of cutting-edge research and the latest advancements from in our sector. We value contributions to the body of knowledge in our field, often seen in the form of research papers stemming from post graduate level internships.

Experience building Machine Learning applications or other Data Science tooling with a strong interest in Machine Learning & related infrastructure; experience with time series analysis and high-frequency event data like financial markets tick data a huge plus
We don’t discriminate by language or ML Framework but you could have built ML projects using a combination of Python, Scala, Java, Spark; Interests: entrepreneurship, economics and financial markets, strong work ethic, creative thinking, systems thinking, cryptography, creative logic

Conduct research into machine learning algorithms and data science methodologies.
Analyze and evaluate the performance of machine learning models within zero-knowledge circuits, adapting them to evolving research needs.
Perform rigorous security assessments and statistical analyses, benchmarking machine learning systems, and identifying areas for improvement.
Effectively communicate complex research findings in the domains of machine learning and data science, breaking down intricate problems for a broad audience.

We are in pursuit of individuals with a deep-seated passion and inquisitiveness in their field, demonstrated through recent research papers or projects, and who possess an eagerness to dive into challenges and pursue solutions relentlessly. We are interested in individuals who strike a balance between academic excellence and a practical mindset.

Lacking some experience in the listed responsibilities? At Inference Labs, we're on the hunt for a diverse array of individuals to join our team. If you're enthusiastic about thriving in our dynamic, remote-friendly, and start-up ambiance—and believe you have the chops for this gig despite not ticking every box—throw your hat in the ring. Initial pre-screen with our talent acquisition provider
Brief programming or research task
Note: Interview stages are subject to change.

Paid Internship, Co-op, or Full time salaried, negotiable based on skills and experience.

Important to note that actual compensation can be influenced by a host of factors such as your educational background, professional training, unique credentials, the skill set you possess, your location, and your experience. 

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