Senior Machine Learning Engineer

September 26

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Xtract One Technologies

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💰 Post-IPO Equity on 2023-02

Description

• The Senior Machine Learning Engineer at Xtract One focuses on SaaS and hardware products • Involves leading end-to-end machine learning projects deployed on reliable edge computing systems • Provides technical guidance, evaluates and adopts new tools and frameworks • Collaborates with stakeholders to align machine learning solutions and business goals • Contributes to driving the technical direction of projects, mentoring team members and strategic decision-making • Work with development and product teams to design, develop, and maintain microservices-based backend systems that are scalable, fault-tolerant, and high-performance • Develop edge services and APIs that are optimized for performance and security • Drive the ML development lifecycle, utilizing expertise to design a reliable data pipeline, code, test, debug, and deploy advanced and scalable machine learning and data solutions • Write high-quality, reusable, and maintainable code using Python and other relevant programming languages • Define and enforce machine learning architectures and design standards • Ensure developer, deployment and user quality stories are first-class citizens in our software • Take ownership of product-related components and help drive them to production • Work in agile development methodologies with a multidisciplinary team • Participate in code reviews and provide constructive feedback to other developers • Establish and enforce best practices in data reliability, ML development, code quality, and testing

Requirements

• Bachelor’s degree in Computer Science, Electrical Engineering, Data Science or a related field • Master’s or Ph.D. preferred • 8+ years experience in a software engineering, machine learning engineering or a similar role using Python and other relevant programming languages • Ability to write clear, well-structured and documented code • Excellent understanding of software development best practices such as version control, agile, code reviews, and automated testing • Extensive experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or onnx • Experience with database systems (SQL or NoSQL) • Experience with edge computing • Experience with cloud platforms like AWS, Azure, or GCP would be a plus • Advanced problem-solving and analytical skills • Exceptional communication and leadership abilities • Strong mentoring and coaching skills, with a track record of developing team members • Deep knowledge of version control systems and software design principles • Track record of successfully delivering complex and scalable machine learning solutions

Benefits

• Competitive salary and benefits package • Annual bonus and publicly traded stock options • Ongoing opportunities for professional growth and development • Collaborative and inclusive work environment that values diversity