Machine Learning Engineer (2024-13543)

What You'll Do We’re building cloud-based tax compliance solutions to handle every transaction in the world. Imagine every transaction you make every tank of gas, cup of coffee, or pair of sneakers, every movie ticket, meal kit, or streamed song, every sensor-to-sensor ping.

Nearly every time you make a purchase, physical or digital, there’s an accompanying unique and nuanced tax compliance calculation.

Job Duties POSITION : Machine Learning Engineer WORK LOCATION : Durham, NC (telecommuting permitted from anywhere within the JOB DUTIES : Utilize machine learning to create new products / features and internal platform for text analytics and content acquisition & delivery.

Develop and program integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments for new product design projects.

Develop and communicate descriptive, diagnostic, predictive and prescriptive insights / algorithms. Use machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product / system performance, quality, data management and accuracy for product / systems improvement projects.

Implement and improve environments and use current programming language and technologies to translate algorithms and technical specifications into code for theoretical development environments and specific product design projects.

Complete programming and implements efficiencies, performs testing and debugging. Complete documentation and procedures for installation and maintenance.

Apply deep learning technologies to give computers the capability to visualize, learn and respond to complex situations.

Adapt machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics, and other products that allow users to have an interactive experience.

• Work with large scale computing frameworks, data analysis systems and modeling environments. Telecommuting permitted from anywhere within the What You'll Need to be Successful REQUIRED QUALIFICATIONS : Masters degree in Computer Science, Engineering, or a related field;
• 6 months of experience in machine learning (ML), including 6 months of experience in each of the following : ML techniques, including classification, regression, and clustering;
• ML Platforms, including TensorFlow, Amazon SageMaker, PyTorch, and / or Scikit-learn; Feature engineering; Hyperparameter;

Data visualization; and Coding using Java and / or Python. All experience may be gained concurrently. How We'll Take Care of You Total Rewards In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.

Health & Wellness Benefits vary by location but generally include private medical, life, and disability insurance. Inclusive culture and diversity Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture.

We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship. Flexible hybrid working We support hybrid work and flexible schedules for our employees.

Learn more about our benefits by region here : TO APPLY AND BENEFITS : Base pay may be based on various factors, such as geographic location, candidate experience and qualifications, as well as market and business considerations.

This role is eligible for an annual bonus based on individual and company performance depending on the terms of the applicable plan and the employee’s role.

Company benefits include medical, dental, and vision coverage, life, AD&D, and disability insurance, a 401(k) retirement plan, 17 days of PTO annually, 12 paid holidays, paid parental leave, an employee assistance program, and subsidized transportation options for commuters.

All benefits are subject to eligibility requirements and Avalara reserves the right to modify or change these benefits programs at any time, with or without notice, unless otherwise required by law.

TO APPLY : See and search under ID 2024-13543. 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.POSITION : Machine Learning Engineer WORK LOCATION : Durham, NC (telecommuting permitted from anywhere within the JOB DUTIES : Utilize machine learning to create new products / features and internal platform for text analytics and content acquisition & delivery.

Develop and program integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments for new product design projects.

Develop and communicate descriptive, diagnostic, predictive and prescriptive insights / algorithms. Use machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product / system performance, quality, data management and accuracy for product / systems improvement projects.

Implement and improve environments and use current programming language and technologies to translate algorithms and technical specifications into code for theoretical development environments and specific product design projects.

Complete programming and implements efficiencies, performs testing and debugging. Complete documentation and procedures for installation and maintenance.

Apply deep learning technologies to give computers the capability to visualize, learn and respond to complex situations.

Adapt machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics, and other products that allow users to have an interactive experience.

Work with large scale computing frameworks, data analysis systems and modeling environments. Telecommuting permitted from anywhere within the