Machine Learning Engineer (I3)
Avalara
What You'll Do Join our dynamic team as a Engineer specializing in AI & Machine Learning, where you'll contribute to pioneering projects in computer vision and natural language processing under the document intelligence space. This role is crucial for automating workflows and enhancing the efficiency of partner teams at Avalara. You'll be instrumental in building, deploying, and maintaining ML models that drive our automated solutions forward, ensuring they operate at peak performance. Job Duties We are looking for engineers who can think quick and have a background in implementation. Experience with one or more of these will be a bonus, Classification systems, Sentiment analysis, NLP and Entity extraction. Computer Vision, OCR, content extraction from images, PDF, HTML Experience with pytorch or TensorFlow Experience with LLMs - like Claude, GPT, BARD 1.Develop and program integrated software algorithms to structure, analyze, and leverage data in product and systems applications in both structured and unstructured environments. 2.Apply knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning using code for tool building, statistical analysis, and modelling, using both general purpose software and statistical languages. 3.Develop and communicate descriptive, diagnostic, predictive, and prescriptive insights/algorithms. 4.Use machine learning and statistical modelling techniques such as decision trees, logistic regression, Bayesian analysis, Natural Language Processing, and others to develop and evaluate algorithms that improve product/system performance, quality, data management, and accuracy. 5.Use current programming languages (e.g., Python)) and technologies to translate algorithms and technical specifications into code. 6.Complete programming, implement efficiencies, perform testing, and debugging. 7.Complete documentation and procedures for installation and maintenance. 8.Apply deep learning technologies to enable computers to visualize, learn, and respond to complex situations. 9.Adapt machine learning to areas such artificial intelligence, Generative AI, Image Processing, and other technologies that allow users to have an interactive experience. 10. Work with large scale computing frameworks, data analysis systems, and cloud-based modelling environments. What You'll Need to be Successful Bachelors or Masters degree with computer science exposure Savvy with machine learning and natural language processing Strong knowledge of software fundamentals, data structures and algorithms CI/CD skills Optimizing and scaling products Distributed systems Cloud-based software Outstanding problem solving and debugging skills Strong understanding of object-oriented design & development and common design patterns About Avalara We’re Avalara. We’re defining the relationship between tax and tech. We’ve already built an industry-leading cloud compliance platform, processing nearly 40 billion customer API calls and over 5 million tax returns a year. Last year, we became a billion-dollar business, and our tribe expanded by a cool thousand people - there’s nearly 5,000 of us now. Our growth is real, and we’re not slowing down - not until we’ve achieved our mission - to be part of every transaction in the world. We’re bright, innovative and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. Ownership and achievement go hand in hand here. We instill passion in our people through the trust we place in them. We’ve been different from day one. Join us, and your career will be too. EEO Statement We’re an Equal Opportunity Employer. Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.
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