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    Machine Learning Engineer - San Francisco, CA, United States - Karkidi

    Karkidi
    Karkidi San Francisco, CA, United States

    1 week ago

    Default job background
    Description

    TBD's Risk and Trust team is on the mission to build world-class risk and trust management services to enable a truly open and decentralized financial ecosystem. We are looking for a skilled Machine Learning Engineer to help create and maintain our model development infrastructure. The ideal candidate will have a strong background in machine learning, software engineering, and cloud-based infrastructure, and will be responsible for designing, building, and optimizing the tools and systems that enable our team to develop, test, and deploy state-of-the-art machine learning models efficiently and effectively to further our mission of economic empowerment globally and solve real world problems with decentralized financial products.

    You Will:

    • Collaborate with machine learning modelers and other stakeholders to design and build a robust, scalable, and user-friendly model development infrastructure
    • Implement and maintain machine learning pipelines, including data preprocessing, feature engineering, model training, validation, and deployment
    • Integrate machine learning models with production systems, ensuring seamless and efficient model deployment and monitoring
    • Develop and maintain tools and libraries to facilitate rapid experimentation, model development, and evaluation for the machine learning team
    • Implement best practices for version control, code review, testing, and documentation, fostering a culture of high-quality software development
    • Stay current with the latest tools, technologies, and best practices in machine learning engineering and cloud-based infrastructure, and drive continuous improvement within the team
    • Monitor, troubleshoot, and optimize the performance of machine learning models and related infrastructure

    Qualifications

    You Have:

    • 5+ years of experience in designing and building deep learning capable ML pipelines and infrastructure
    • 8+ years of experience building software platforms
    • Proficiency in Python and experience with machine learning libraries, such as scikit-learn, TensorFlow, or PyTorch
    • Strong software engineering skills, including knowledge of data structures, algorithms, and object-oriented programming principles
    • Experience with cloud-based infrastructure and services, such as AWS, GCP, or Azure, and related machine learning tools and services
    • Familiarity with containerization and orchestration technologies, such as Docker and Kubernetes
    • Experience in dealing with sensitive/private data, both structured and unstructured
    • Experience with advanced techniques like irregular sequence modeling, uncertainty quantification, graph neural networks, homomorphic encryption, active learning systems, is a big plus
    • Strong problem-solving, analytical, and critical thinking skills
    • Entrepreneurial and have demonstrated ability to handle ambiguity
    • Excellent problem-solving, analytical, and communication skills

    Additional Information

    Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

    Zone A: USD $202,500 - USD $247,500

    Zone B: USD $192,400 - USD $235,200

    Zone C: USD $182,300 - USD $222,800

    Zone D: USD $172,200 - USD $210,400

    To find a location's zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.

    Full-time employee benefits include the following:

    • Healthcare coverage (Medical, Vision and Dental insurance)
    • Health Savings Account and Flexible Spending Account
    • Retirement Plans including company match
    • Employee Stock Purchase Program
    • Wellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance
    • Paid parental and caregiving leave
    • Paid time off (including 12 paid holidays)
    • Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees)
    • Learning and Development resources
    • Paid Life insurance, AD&D, and disability benefits

    These benefits are further detailed in Block's policies. This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

    We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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