Senior A.I. Research Engineer

at  Digital Currency Group

WHAT YOU’LL BE A PART OF:

Founded in 2015 by CEO Barry Silbert, Digital Currency Group is the most active investor in the blockchain sector with a mission to accelerate the development of a better financial system through the proliferation of digital assets and blockchain technology. Today, DCG sits at the epicenter of the industry, backing more than 200 blockchain-related companies in over 35 countries. DCG also invests directly in digital currencies and other digital assets.
We passionately believe digital currency and blockchain technology will drive global economic and social change. Our unique model enables us to deploy our resources to build over the long term.

QUALIFICATIONS:

• Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, Engineering or a related field.
• Minimum of 5 years of experience in AI research, engineering, or a related technical role, with a focus on developing and deploying AI solutions.
• Strong expertise in machine learning, deep learning, natural language processing, computer vision, or other AI subfields, with a solid understanding of algorithms, methodologies, and frameworks.
• Proficient in multiple programming languages including, but not limited to, Python, Go, Rust, Java, C, C++, SQL, TensorFlow
• Experience in decentralized AI is preferred, but not required.
• Experience with data analysis, statistical techniques, and machine learning tools for extracting insights from large datasets.
• Strong problem-solving and analytical skills, with a data-driven approach to decision-making and optimization.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and convey complex technical concepts to diverse audiences.
• Experience working in agile development environments and familiarity with software engineering best practices is preferred.

WHAT IS THE ROLE:

The will play a pivotal role in driving the development and implementation of advanced AI solutions, providing technical expertise, in-depth analysis, and develop new decentralized AI businesses and systems. This role will report to the VP, Strategy and will be a cornerstone in the expansion and refinement of our business incubation strategy. The ideal candidate will have a strong background in AI research, proficiency in coding, and hands-on experience in developing AI products and solutions from conception to deployment.

WHAT YOU’LL BE RESPONSIBLE FOR:

Incubation:

• Lead efforts to explore new AI techniques, methodologies, and algorithms, staying abreast of the latest developments in the field and identifying opportunities for innovation.
• Collaborate with senior management to develop and implement AI strategies that align with business objectives and drive innovation across the organization.
• Conduct comprehensive data analyses to derive insights, patterns, and trends from large and complex datasets, leveraging statistical techniques and machine learning algorithms.
• Rapidly prototype and iterate on AI concepts and ideas, developing proof-of-concept solutions to validate hypotheses, refine assumptions, and demonstrate feasibility.
• Train and fine-tune machine learning and deep learning models using appropriate datasets and techniques, optimizing model performance and generalization capabilities.
• Evaluate the performance, robustness, and reliability of AI models and systems through rigorous testing and validation procedures, ensuring alignment with project requirements and objectives.

General:

• Collaborate closely with cross-functional teams, including data scientists, software engineers, and domain experts, to integrate AI solutions into end-to-end applications and workflows.
• Create and maintain technical documentation, including design specifications, implementation details, and best practices, to facilitate knowledge sharing and collaboration.
• Maintain a high level of quality and implement rigorous testing and validation processes to ensure the reliability, robustness, and performance of systems in real-world environments.
• Proficient in multiple languages including, but not limited to, Python, Go, Rust, Java, C, C++, SQL, TensorFlow
• Stay updated on emerging trends, best practices, and advancements in AI research and engineering, continuously expanding expertise and skills in the field.
• Technical Leadership: Serve as a key technical leader and subject matter expert in AI, providing guidance and mentorship to interdisciplinary teams of engineers and researchers.
• AI Engineering: Lead the design, development, and implementation of advanced AI algorithms, models, and systems to solve complex problems and deliver scalable solutions.
• Technical Evaluation: Evaluate third-party AI technologies, tools, and platforms, assessing their suitability for integration into our AI ecosystem and providing recommendations for adoption.