AI & Optimization Engineer
Role in brief
Tether is hiring an AI & Optimization Engineer to define and lead the AI strategy for their Bitcoin mining operations. This role involves designing data foundations, building and deploying machine learning models, and integrating AI solutions into existing workflows. Candidates with strong Python and ML framework experience, particularly in time-series data and optimization, should apply.
About the role
This role focuses on advancing Tether's Bitcoin mining operations through artificial intelligence. The engineer will be responsible for setting the overall AI strategy, developing the necessary data infrastructure, and creating AI models to enhance operational efficiency. This involves a hands-on approach to building and deploying machine learning and AI solutions.
A core part of the work will be developing models that improve performance and automate processes within the mining environment. The engineer will also work closely with other engineering teams to ensure these AI models are smoothly integrated into current operational workflows. Success in this position means delivering tangible improvements in efficiency and automation for the company's mining activities.
The position is within Tether, a company that provides digital finance solutions, including the USDT stablecoin and digital asset tokenization services. The role contributes to their broader mission of integrating reserve-backed tokens across blockchains and pioneering global financial solutions.
The annual salary for this position ranges from $150,000 to $200,000 USD.
Skills that matter here
- Python: Proficiency in Python is required for developing and implementing AI and machine learning models.
- PyTorch: Experience with PyTorch is needed for building and deploying advanced machine learning and AI models.
- TensorFlow: Familiarity with TensorFlow is expected for developing and integrating AI solutions.
- Scikit-Learn: Knowledge of Scikit-Learn will be used for various machine learning tasks and model development.
- Docker: Experience with Docker is relevant for deploying and managing AI models and related infrastructure.
Who this role suits
- A candidate who thrives on defining strategic technical direction and then executing it through hands-on development.
- Someone with a background in AI/ML or data science, particularly with experience handling time-series data and optimization challenges.
- An individual who enjoys collaborating with other engineering teams to integrate their solutions into broader systems.
- A person with strong English communication skills who can work effectively in a remote, global team environment.
From the employer
- Define and lead the AI strategy for MOS & MDK.
- Design data foundation and AI models for operational efficiency.
- Build and deploy ML/AI models for performance optimization and automation.
- Collaborate with engineering teams to integrate AI models into workflows.
- Bachelor's or Master's degree in relevant fields.
- 3+ years experience in AI/ML or data science roles.
- Proficiency in Python and modern ML frameworks.
- Experience with time-series data and optimization techniques.
- Excellent English communication skills.
- Work remotely with a global team.
- Competitive salary between 150,000 and 200,000 USD per year.
- Opportunity to collaborate with industry leaders in fintech.
Questions about this role
What is the remote work policy for this position?
This is a fully remote position, allowing the successful candidate to work with a global team.
What level of experience is required for this role?
Candidates should have a Bachelor's or Master's degree in a relevant field and at least three years of experience in AI/ML or data science roles.
How do I apply for this position?
The job posting does not specify an application method, but typically applications are submitted through the company's career portal or a provided link.
Similar jobs
Machine Learning Engineer Intern
Staff Machine Learning Engineer(Platform - Identity)
Staff Machine Learning Engineer (Platform - Identity)
AI/ML Engineer (all genders)
Binance Accelerator Program - AI Engineering
