| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
CAT Labs (Crypto Asset Technology Labs, Inc.) | United States | $185k - $220k | |||
Whatnot | San Francisco, CA, United States | $178k - $235k | |||
Binance | Taipei, Taiwan |
| |||
Coinbase | Remote | $126k - $127k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Coinbase | Remote | $140k - $165k | |||
Coinbase | Remote | $185k | |||
Unlimit | Gurgaon, India | $87k - $103k | |||
Ionicpartners | United States | $72k - $90k | |||
Nansen.ai | London, United Kingdom | $126k - $127k | |||
Sahara AI | San Francisco, CA, United States | $32k - $86k | |||
Referrals Only Board | Remote | $126k - $127k | |||
Coinbase | United States | $180k - $212k | |||
AKASA | Remote | $175k - $230k | |||
Figure | San Francisco, CA, United States | $63k - $75k | |||
Aptos | Palo Alto, CA, United States | $160k - $260k |
This job is closed
Principal Engineer - AI/ML & Blockchain Integrations
Responsibilities:
- Design, develop, and implement AI/ML and blockchain-based features and functionalities for our products.
- Write and review code alongside senior Blockchain and AI/ ML software engineers.
- Architect scalable solutions for both SaaS and on-prem deployments.
- Lead engineering team members through technical challenges, promoting a learning and continuous improvement culture.
- Adhere to industry best practices and ensure technical quality, scalability, performance, and security for all software deliverables.
- Facilitate agile development processes, including sprint planning, daily stand-ups, and retrospectives.
- Seek continuous improvement opportunities to optimize existing workflows for efficiency, speed, and accuracy.
- Stay abreast of emerging trends, advancements, and relevant technologies in AI/ML, blockchain applications, and cryptocurrency crime prevention methods.
- Actively integrate emerging technologies into existing and future CAT Labs product solutions.
Qualifications:
- A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Proven experience as a software engineer with leadership responsibilities, preferably in AI/ML and blockchain technology projects.
- Strong programming skills in languages such as Python, TypeScript, Java or C++. Deep understanding of AI and machine learning algorithms, tools, and best practices.
- Experience with blockchain technology, smart contracts, and cryptocurrency platforms.
- Familiarity with DevOps practices, including continuous integration and deployment (CI/CD). Expertise in ML concepts and algorithms, including neural networks, linear/logistic regression, support vector machines, random forests, dimensionality reduction, and reinforcement learning.
- Strong knowledge of ML frameworks such as Pandas, numpy, scikit-learn, TensorFlow, Pytorch, Keras, and Hugging Face.
- Proficiency with MLOps and associated tools such as MLflow and Kubeflow.
- Experience building modern web development using Angular and Node.js frameworks.
- Experience with optical character recognition and natural language processing applications.
- Experience with cloud platforms ML products such as AWS SageMaker, Azure ML, and GCP Vertex.
- Experience with big data technologies like Hadoop, BigQuery, MapReduce, and Apache Spark.
- Excellent communication and collaboration skills, with the ability to work effectively in an agile environment.
- Excellent problem-solving, leadership, and communication skills.
Is machine learning a good career?
Yes, machine learning is a rapidly growing field and can be a very promising career option for those interested in it
As businesses and industries increasingly rely on data to drive decision-making, there is a growing need for skilled professionals who can analyze and make sense of this data
Machine learning, which involves developing algorithms that can learn from and make predictions on large datasets, is a crucial part of this process
Machine learning careers can range from data analysts, machine learning engineers, data scientists, and more
These professionals work in a variety of industries, including finance, healthcare, e-commerce, and technology
The demand for machine learning experts is high, and the salaries in this field are also generally quite competitive
However, it's important to note that machine learning can be a complex field that requires a strong background in mathematics, statistics, and computer science
It also requires ongoing learning and staying up-to-date with the latest developments and tools in the field
If you enjoy working with data, have a strong interest in programming, and are willing to put in the effort to stay current with developments, a career in machine learning can be very rewarding.