We are seeking a full-time Senior Deep Reinforcement Engineer for Deeplink. You will be responsible for all optimization and development of complex data insights and Deeplink. You will likely be a recognized technology and data science leader in AI/ML/RL and have proven success and hands-on skills in applying AI/ML/RL to the most demanding machine learning and engineering challenges.
In addition, you will have the unique opportunity to work with a cross-functional team of innovators, C-level executives, and a large team based globally in Sydney, London, and New York committed to excellence and innovation in the blockchain industry.
If you are passionate about DeFi, open-source technologies, and optimizing machine learning for Web3, join us and learn about the industry and discover what your dream job is like at Deeplink Labs!
The Big News. Big Innovation.
A cryptographically enforced system of contracts will take both our daily lives and the world’s emerging markets into a new age of economic fairness, transparency, and efficiency.
Deep Q-learning for on-chain execution test (DeepBrew: v1) is LIVE!
We are a 7-year-old Web3 and digital asset research, technology, and engineering firm based in Sydney, London, and New York. Our machine learning protocol, Deeplink, allows blockchains to maintain On-chain Neural Networks (ONN) while introducing programmability, machine learning, and data science into blockchains. Other Ethereum or EVM-compatible chains and protocols can use on-chain neural networks and ONN agents to improve efficiency, on-chain execution capabilities, and security.
When blockchains become more mainstream and complex, the underlining blockchain operation, efficiency, and infrastructure optimization will get more challenging. Blockchain ecosystems will be unable to keep up with the ever-changing demands of needs, meet greater efficiencies and reduce vulnerabilities without an advanced level of automation and the emergence of intelligence.
The current generation of money lego protocols (DeFi), smart-contract-native ecosystems, and dApps have brought us unprecedented levels of programmability and automation; the next wave will focus on intelligence as a core capability.
Deeplink wants to make blockchains smarter while maintaining decentralization and security. It will be the first of its kind, offering on-chain neural networks and dev-ops for many on-chain applications. With an SDK, developers can integrate powerful deep-learning tools on-chain into their smart contracts, providing the perks of deep learning without relying on centralized authority, and making their products smarter and safer.
Working with the engineering and data science team in the reinforcement learning algorithms that will run in our platform: definition, initial implementation, evaluation, and deployment
Create, analyze, and use various RL architectures and algorithms and independently conduct research to decide upon the best approach
Proactive interest in finding solutions and initiating research activities.
Work on fast prototyping DL models with high-level libraries like Keras, TensorFlow, and PyTorch.
Build machine learning and deep learning models for reinforcement learning.
Stay up-to-date with the latest developments in the AI/ML/RL field.
Getting involved in building alliances, collaborations, and good working relationships with internal and external stakeholders.
Skills and Experience
BA, MA, PhD in Computer Engineering or degree in machine learning or related technical disciplines or equivalent industry experience with a major and interest in Deep Reinforcement Learning, TTS, ASR, NLU, or Statistical modeling
Practical hands-on coding skills (e.g., Python, SQL, Java) in developing advanced machine learning algorithms or key components of enterprise-grade machine learning platforms
Practical hands-on experience with industry-leading ML services/products (e.g., AWS AI/ML services)
Practical hands-on experience with multiple industry-leading ML frameworks (e.g., TensorFlow, PyTorch, MXNet, Keras, Scikit-Learn)
Should have coding experience with deep learning models and deep reinforcement learning agents (like DQN)
Should have Knowledge of Deep Learning (like autoencoders, LSTM's and GAN's) and Reinforcement Learning Algorithms (like Monte Carlo, Self Play, Q Learning, RL Agent Planning Algorithms)
Should have the ability to read, understand and implement SOTA DL/ML/RL papers (papers like Rainbow, Prioritized Experience Replay, Agent57)
Should have an understanding of OOPs concepts (inheritance, encapsulation, polymorphism, abstraction, etc.) and how they are used in Python
In-depth knowledge and practical hands-on architecture skills in designing enterprise-grade ML platform that meets the most stringent security, compliance, performance/scalability, and operational requirements
Understanding of Google DeepMind Architecture, Machine Learning, Deep Learning, TTS, ASR, NLU, or Statistical modeling.
Understanding of data structures, data modeling, and software architecture
Passionate about R&D activities
Deep expertise and practical hands-on skills in multiple machine learning techniques such as Natural Language Processing, Computer Vision, Reinforcement Learning, or Predictive Analytics
Experience working in an early growth-stage company
Experience building and delivering Proofs of Concept (PoCs) and building large-scale innovative projects
You have a strong interest in decentralized finance
An open-minded research approach and genuine intellectual curiosity
Ability to explain complex concepts in simple terms to a non-technical audience
Attention to detail and a commitment to excellence
A positive attitude and a passion for sharing knowledge within your team, organization, and the broader community
At least 5 years of experience in blockchain application development and EVM-based protocols
Building reliable code and libraries for future use
Must be able to translate a clearly defined problem to production quality code, keeping testability, readability, and edge-cases in mind
Capable of designing a module within the project and suggesting improvements in the entire architecture of Deeplink PoC and solutions
Ability to lead architectural discussions
Responding to functional and technical elements of proposals independently and effectively
Key Benefits of the Role
Challenging yourself and solid career advancement.
Be at the forefront of an exponentially growing industry with cutting-edge technology.
Build a professional network and meet like-minded people.
Competitive salaries, bonuses, and other financial incentives.
1). What happens after you submit an internship application?
We will review your application within 24 hours. If you are shortlisted, you will receive a confirmation email.
2). Can this contribute to the industry experience portion of my degree?
This may vary depending on your institution, but we can work with you to make it fit your requirements.
3). What will I get out of this?
In addition to a salary, certificates and recommendation letters after project completion. You'll receive an awesome opportunity for rising stars to be offered a permanent job position.
4). What is the difference between internship & academic professionals?
As an intern, you will work under senior professional supervision. Academic professionals will work independently, take on more responsibilities and will usually work full-time with longer-term engagement.
5). Is this a remote position?
We prefer face-to-face, but it can also be remote.
6). Is this a paid position?
Yes, rates will depend on your role and engagement.
7). Is this a full-time or part-time position?
We would prefer full-time but engagement is negotiable.
8). How long will the internship last?
This depends on the role and engagement, but will range from 2 weeks to 3 months.
9). Will I be trained?
Yes, you will be working under an industry professional supervisor who will help bring you up to speed on any work you are required to do.
10). Do I need prior knowledge and experience with blockchain?
Prior knowledge on the field is a big plus, but not mandatory.
11). Can I be hired permanently after my internship?
Yes, we are looking for passionate individuals to join our team long term.
12). I have some questions about the role. Please call +61474075150 or email email@example.com