As a Crypto Data Scientist at Token Metrics, you will design and optimize machine learning systems, perform statistical analysis, and enhance AI software's predictive capabilities. Your role includes consulting on ML objectives, transforming data prototypes, developing algorithms, stress testing, documenting processes, and staying updated on ML advancements.
Token Metrics is searching for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
As a machine learning engineer, you should demonstrate solid data science knowledge and experience.
A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive models.
Responsibilities
- Consulting with the manager to determine and refine machine learning objectives.
- Designing machine learning systems and self-running artificial intelligence (AI) to automate predictive models.
- Transforming data science prototypes and applying appropriate ML algorithms and tools.
- Ensuring that algorithms generate accurate user recommendations.
- Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
- Developing ML algorithms to analyze huge volumes of historical data to make predictions.
- Stress testing, performing statistical analysis, and interpreting test results for all market conditions.
- Documenting machine learning processes.
- Keeping abreast of developments in machine learning.
Requirements
- Bachelor's degree in computer science, data science, mathematics, or a related field.
- Master’s degree in computational linguistics, data science, data analytics, or similar will be advantageous.
- At least two years' experience as a machine learning engineer.
- Advanced proficiency with Python, Java, and R code.
- Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
- In-depth knowledge of mathematics, statistics, and algorithms.
- Superb analytical and problem-solving abilities.
- Great communication and collaboration skills.
- Excellent time management and organizational abilities.
About Token Metrics
Token Metrics helps crypto investors build profitable portfolios using artificial intelligence based crypto indices, rankings, and price predictions.
Token Metrics has a diverse set of customers, from retail investors and traders to crypto fund managers, in more than 50 countries.
Top Skills
Artificial Intelligence
Data Modeling
Data Science
Data Structures
Java
Machine Learning
Ml Frameworks
Python
R
Software Architecture
Statistical Analysis
Similar Jobs
Artificial Intelligence • Machine Learning • Natural Language Processing • Conversational AI
As a Senior Backend Engineer at Smartcat, you will design and implement scalable backend services and APIs, collaborate with cross-functional teams for seamless integration, optimize application performance, and engage in code reviews and knowledge sharing.
Top Skills:
.Net Core (C#)Amazon AwsElasticsearchElk (Efk)GrafanaKafkaMongoDBPostgresPrometheusPython
Information Technology • Productivity • Professional Services • Software
As a Senior ServiceNow Developer, you will solve complex problems for ServiceNow customers, develop and maintain software applications, design scalable and testable code, and integrate various ecosystems while participating in SCRUM calls and collaborating with clients on implementations.
Artificial Intelligence • Machine Learning • Natural Language Processing • Conversational AI
As a Senior Fullstack Engineer, you'll lead development of features, optimize application performance, and enhance user experience, while collaborating with teams to resolve production issues and ensuring seamless integration.
Top Skills:
.NetAWSC#ElasticsearchElkGrafanaJavaScriptKafkaMongoDBNuxtPostgresPrometheusPythonTypescriptVue
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
