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Machine Learning Engineer

Remote: 
Full Remote
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor's degree in Computer Science or related field, 3+ years of experience with machine learning and NLP, Experience with Python, PyTorch or TensorFlow, Knowledge of cloud-based software and CI/CD practices.

Key responsabilities:

  • Take ownership of the machine learning lifecycle
  • Develop algorithms for structured and unstructured data analysis

Avalara logo
Avalara https://www.avalara.com
1001 - 5000 Employees
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Job description

What You'll Do


  • We, at Avalara, are building the next generation of automatic tax compliance products, using machine learning techniques to inspire creativity in document classification, extraction, and conversational systems. You will report to Senior Manager AI/ML


What Your Responsibilities Will Be


  • Take end-to-end ownership of the machine learning lifecycle, including model design, deployment, optimization, and maintenance in production.
  • Develop and implement algorithms to analyze and leverage structured and unstructured data, applying techniques like Natural Language Processing (NLP), Generative AI, and computer vision.
  • Refine conversational systems (e.g., chatbots) using techniques such as Retrieval-Augmented Generation (RAG), vector databases, and fine-tuned large language models (LLMs).
  • Create machine learning models using techniques like decision trees, deep learning, and Bayesian analysis to improve product performance and accuracy.
  • Write and improve production-ready code, perform testing, debugging, and ensure scalability using tools like Python and frameworks such as PyTorch or TensorFlow.


Qualifications


  • Bachelor's degree with computer science exposure
  • Experience with machine learning and natural language processing
  • 3+ years of experience with software fundamentals, data structures and algorithms
  • CI/CD skills
  • Distributed systems
  • Cloud-based software
  • Experience with object-oriented design and common design patterns
  • Experience with one or more of these will be a bonus: Classification systems, Sentiment Analysis, NLP, and Entity Extraction Conversational systems, including Retrieval-Augmented Generation (RAG), Vector Stores, and related technologies Computer Vision, OCR, and content extraction from images, PDFs, and HTML


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.
  • Learn more about our benefits by region here: Avalara North America


What You Need To Know 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.


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.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

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