Senior Machine Learning Engineer – Remote - AI & Cloud Computing for Innovative Product Development

Join the Future of AI-Driven Product Development as a Senior Machine Learning Engineer Workwarp is seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic product team remotely. As a Senior Machine Learning Engineer, you will play a crucial role in designing, developing, and deploying machine learning solutions that power our innovative products. If you're passionate about AI, cloud computing, and collaborative product development, we want to hear from you! About Workwarp At Workwarp, we're dedicated to revolutionizing the way people interact with technology. Our products are designed to make a meaningful impact on people's lives, and we're looking for talented individuals like you to help us achieve our vision. Our company culture values collaboration, innovation, and continuous learning, and we're excited to welcome a new team member who shares these values. Job Summary As a Senior Machine Learning Engineer at Workwarp, you will be responsible for contributing to the software design, algorithm design, and overall product lifecycle of our AI-driven products. You will work closely with cross-functional teams, including product management, UX, and engineering, to develop and deploy machine learning solutions that meet business requirements. Your expertise in machine learning, cloud computing, and software development will be invaluable in driving our product innovation forward. Key Responsibilities Delivery and Execution (70%): Collaborate with product team members to create secure, reliable, and scalable machine learning solutions Document, review, and ensure that all quality and change control standards are met Work with Product Team to ensure user stories are developer-ready, easy to understand, and testable Write custom code or scripts to automate infrastructure, monitoring services, and test cases Configure commercial off-the-shelf solutions to align with evolving business needs Create meaningful dashboards, logging, alerting, and responses to ensure proactive issue capture and resolution Learning (10%): Participate in learning activities around modern software design, machine learning, and development core practices Proactively view articles, tutorials, and videos to learn about new technologies and best practices Support and Enablement (20%): Field questions from other product teams or support teams Monitor tools and participate in conversations to encourage collaboration across product teams Provide application support for software running in production Proactively monitor production Service Level Objectives for products Proactively review the Performance and Capacity of all aspects of production Requirements and Qualifications Essential Qualifications: Must be eighteen years of age or older Must be legally permitted to work in the United States Minimum of 2 years of relevant work experience Bachelor's degree or equivalent in Computer Science, Engineering, or a related field Preferred Qualifications: Expertise in ML development and ML ops lifecycle Experience working with multiple leading ML models Experience tracking key metrics for ML performance Familiarity leveraging GenAI models Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc. Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc. Experience in a modern scripting language (preferably Python) Experience with GPU acceleration (i.e., CUDA and cuDNN) Experience in modern web application framework such as Node.js Experience in writing SQL queries against a relational database Experience in version control systems (preferable Git) Experience in a CI/CD toolchain Experience in REST and effective web service design Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security Familiarity with NoSQL databases Familiarity with cloud computing platform and associated automation patterns and machine learning services they provide Familiarity with defensive coding practices and patterns for high Availability Familiarity with A/B testing and effective REST design for scalable web services architecture Skills and Competencies To succeed as a Senior Machine Learning Engineer at Workwarp, you will need to possess the following skills and competencies: Technical Skills: Machine learning and deep learning Cloud computing (Google Cloud Platform) Software development (Python, Node.js) Data analysis and visualization Scripting and automation Soft Skills: Collaboration and teamwork Communication and presentation Problem-solving and analytical thinking Adaptability and continuous learning Competencies: Global Perspective Manages Ambiguity Nimble Learning Self-Development Collaborates Cultivates Innovation Situational Adaptability Communicates Effectively Drives Results Interpersonal Savvy Career Growth Opportunities and Learning Benefits At Workwarp, we're committed to helping our employees grow and develop their skills. As a Senior Machine Learning Engineer, you'll have access to: Opportunities for career advancement and professional growth Training and development programs to enhance your skills Collaborative and dynamic work environment Flexible work arrangements, including remote work options Competitive salary and benefits package Work Environment and Company Culture Our company culture values collaboration, innovation, and continuous learning. We strive to create a work environment that's inclusive, supportive, and fun. As a remote employee, you'll have the flexibility to work from anywhere and stay connected with our team through virtual communication tools. Compensation, Perks, and Benefits We offer a competitive salary and benefits package, including: Competitive salary Comprehensive health insurance Retirement savings plan Paid time off and holidays Flexible work arrangements How to Apply If you're excited about this opportunity and believe you have what it takes to succeed as a Senior Machine Learning Engineer at Workwarp, please submit your application without delay. We can't wait to hear from talented candidates like you! The application window is anticipated to be closed on October 15th, 2024. Apply for this job