Job Closed
This listing is no longer active.
Powerful enough for your accountant, simple enough for you.
Senior Applied Scientist
Location
United States
Posted
74 days ago
Salary
0
Seniority
Senior
Job Description
Senior Applied Scientist
Xero
The role / impact As a Senior Applied Scientist, you will research and implement generative AI solutions that simplify the daily lives of our small business customers. You will have a direct impact on how people interact with Xero by shaping the next generation of intuitive, AI-powered experiences that turn complex workflows into seamless tasks. Your work involves continuously evaluating generative AI reasoning and accuracy while improving results through hybrid approaches that combine cutting-edge large language models with classical machine learning methods. By translating business problems into technical formulations, you will deliver tangible outcomes across the full accounting domain. The team / how they connect You will join the XAIN AI North America team, a group of approximately 30 specialists dedicated to AI product research and development. We are a fully remote team spread across North America that stays connected through daily collaboration on Slack and Google Meet, while maintaining close ties with our global colleagues in Australia, New Zealand, and the UK. The team is currently working on / Initially, you will focus on - Building and deploying generative AI solutions using cutting-edge LLM APIs to enhance the customer experience. - Developing hybrid systems that combine state-of-the-art generative AI with classical machine learning techniques to ensure accuracy and reliability. - Scaling ML systems from initial design and training through to production monitoring and evaluation. - Collaborating with internal product and engineering teams to refine loosely defined problems into clear research directions. Where and how you can work This role is part of a fully remote team across North America, with a primary concentration of team members on the West Coast. You will have the flexibility to work from home while engaging in high-impact collaboration through digital tools to stay connected with our global community. Here are some of the things we are looking for - You bring strong theoretical and practical knowledge of machine learning, including solid foundations in probability, linear algebra, and calculus. - Your background includes hands-on experience applying natural language processing or computer vision techniques to solve real-world product challenges. - You possess the ability to write testable, maintainable, and reusable code, ideally using Python, while following solid software engineering fundamentals. - You have a proven track record of using state-of-the-art large language models and staying current with scientific literature. - A talent for explaining complex technical concepts to partners in product, design, and engineering comes naturally to you. - You demonstrate a customer-focused mindset and the ability to operate effectively through ambiguity and change. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team
Related Guides
Related Job Pages
More AI Research Scientist Jobs
Automotive Engineering & Python Expert - Freelance AI Trainer
MindriftApply → Pass qualification(s) → Join a project → Complete tasks → Get paid. Project time expectations: Tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements; This is an estimate, not a guaranteed workload, and applies only while the project is active. Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.
Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design graduate- and industry-level automotive engineering problems grounded in real practice; - Evaluate AI-generated solutions for correctness, assumptions, and engineering logic; - Validate analytical or numerical results using Python (NumPy, SciPy, Pandas); - Improve AI reasoning to align with first principles and accepted engineering standards; - Apply structured scoring criteria to assess multi-step problem solving. What we look for This opportunity is a good fit for automotive engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: - Degree in Automotive Engineering or related fields, e.g. Mechatronics, Manufacturing Engineering, Mechanical Engineering, Aerospace Engineering, etc. - 3+ years of professional automotive engineering experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection Professional certifications (e.g., PE, CEng, PMP) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
Automotive Engineering & Python Expert - Freelance AI Trainer
MindriftApply → Pass qualification(s) → Join a project → Complete tasks → Get paid. Project time expectations: Tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements; This is an estimate, not a guaranteed workload, and applies only while the project is active. Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.
Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design graduate- and industry-level automotive engineering problems grounded in real practice; - Evaluate AI-generated solutions for correctness, assumptions, and engineering logic; - Validate analytical or numerical results using Python (NumPy, SciPy, Pandas); - Improve AI reasoning to align with first principles and accepted engineering standards; - Apply structured scoring criteria to assess multi-step problem solving. What we look for This opportunity is a good fit for automotive engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: - Degree in Automotive Engineering or related fields, e.g. Mechatronics, Manufacturing Engineering, Mechanical Engineering, Aerospace Engineering, etc. - 3+ years of professional automotive engineering experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection Professional certifications (e.g., PE, CEng, PMP) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
Automotive Engineering & Python Expert - Freelance AI Trainer
MindriftApply → Pass qualification(s) → Join a project → Complete tasks → Get paid. Project time expectations: Tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements; This is an estimate, not a guaranteed workload, and applies only while the project is active. Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.
Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design graduate- and industry-level automotive engineering problems grounded in real practice; - Evaluate AI-generated solutions for correctness, assumptions, and engineering logic; - Validate analytical or numerical results using Python (NumPy, SciPy, Pandas); - Improve AI reasoning to align with first principles and accepted engineering standards; - Apply structured scoring criteria to assess multi-step problem solving. What we look for This opportunity is a good fit for automotive engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: - Degree in Automotive Engineering or related fields, e.g. Mechatronics, Manufacturing Engineering, Mechanical Engineering, Aerospace Engineering, etc. - 3+ years of professional automotive engineering experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection Professional certifications (e.g., PE, CEng, PMP) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
• Assist in designing and running experiments to train LLMs • Help analyze experimental results and document findings • Write and maintain code for data mining, processing, and model evaluation • Collaborate with the team to explore new methods in reinforcement learning for agents • Participate in technical discussions and discuss future steps of research

