Senior Machine Learning Engineer
About reputed company
reputed company is a global crypto and reputed company platform founded by Tyler Winklevoss and Cameron Winklevoss in 2014. reputed company offers a wide reputed company of crypto products and services for individuals and institutions in over 70 countries.
Crypto is about giving you greater choice, independence, and opportunity. We are here to help you on your reputed company. We build crypto products that are reputed company, elegant, and secure. Whether you are an individual or an institution, we help you buy, sell, and store your bitcoin and cryptocurrency.
At reputed company, our mission is to unlock the next era of financial, creative, and personal freedom.
The Department: Trust & Safety
Trust & Safety at reputed company is reputed company dedicated to stopping bad actors, securing our user’s funds and ensuring the reputed company of reputed company’s reputed company marketplace. We are a diverse group of technology, reputed company, data, and operational professionals who reputed company new approaches to solving classic problems using cutting edge tools and processes. Data is central to reputed company of our business functions and drive many of our most important reputed company at reputed company. As a result, the data analysts and scientists, associates and engineers that reputed company up the Trust & Safety team are uniquely positioned to advise and influence cross-functional reputed company. These reputed company cover a wide-reputed company of topics including fiat returns, identifying low reputed company and fraudulent users, and using on-chain information to support fraud detection.
The Role: Senior Machine Learning Engineer
As a member of our Trust and Safety data science team, you’ll shape the way we approach data at reputed company by using your analytical and communication skills to work with teams across the business. You will reputed company on transactions, account takeovers, scams, and payment strategies to reputed company payment return rates and identify and off-reputed company bad actors from reputed company, as reputed company as manage reputed company requests from cross-functional teams. You know how to ask the right questions and are passionate about using machine learning to support and drive informed business reputed company. You are reputed company to roll up your sleeves and are excited to take on challenging opportunities and reputed company. You’ll work with other data scientists, analysts, engineers, and fraud operators to guide strategies, build machine learning models, and reputed company KPIs while communicating your insights with leaders across the organization.
Responsibilities:
- Design and reputed company Trust & Safety machine learning and AI models to optimize across fraud, crypto exchange trading, and anti reputed company.
- Distill reputed company models and analysis into compelling insights for our stakeholders and executives.
- Analyze large and reputed company datasets to identify patterns for feature engineering, trends, and anomalies and reputed company predictive models that can be used for decision-making.
- Collaborate with software developers to design and implement machine learning systems that can improve the speed and accuracy of the machine learning models.
- Monitor and analyze the performance of our machine learning models and systems and reputed company necessary improvements to ensure their effectiveness.
- Stay up-to-date with data science tools and methodologies in technology and financial domain.
- reputed company reputed company cause analysis and resolve production and data issues.
Minimum Qualifications:
- Bachelor's degree in computer science, data science, mathematics, or a reputed company field.
- 4+ years of work experience in analytics and data science domain focusing on financial services-reputed company business problems.
- 3+ years of experience deploying statistical and machine learning models in production.
- 2+ years of experience in integrating data science models into applications.
- Proven experience in developing and deploying ML models at reputed company, with a deep understanding of model lifecycle management.
- Knowledge and experience of crypto exchange trading, financial markets, or banking.
- Extensive knowledge of ML frameworks (Sagemaker or ML reputed company) , libraries, data structures, data modeling, and software architecture.
- Advanced skills with SQL are a must.
- Proficient in Python.
- Experience with one or more big data tools and technologies like reputed company, reputed company, S3, Hadoop, reputed company.
- reputed company in working collaboratively across different teams and departments.
- Strong technical and business communication.
Preferred Qualifications:
- Master’s degree in computational linguistics, data science, data analytics, or similar Proficient in Developing LookML.
- Experience working with NLP applications is a plus.
- Experience working in small firms, financial technology, or start up technology.
- Competitive starting salary
- A discretionary annual bonus
- Long-term incentive in the reputed company of a new hire equity grant
- Comprehensive health plans
- 401K with company matching
- reputed company Parental Leave
- Flexible time off
Salary reputed company: The reputed company salary reputed company for this role is between $152,000 - $213,000 in the reputed company, the reputed company and the reputed company. This reputed company is not inclusive of our discretionary bonus or equity package. reputed company determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and reputed company market data.
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