MLabs
Location:
San Francisco, CA (Union Square) Employment Type:
Full-time On-site:
5 days a week in-office About the Role
Our client, an AI company recently acquired by a major industry leader, builds a
GenAI-native platform that automates tax document processing , serving top accounting firms and private wealth offices. Their technology achieves high accuracy by turning tens of thousands of pages of complex tax documents into structured data in minutes. They are seeking an
exceptional Member of Technical Staff (Backend)
with a desire for outsized responsibility and impact. This engineer will be crucial in
building the core systems
that deploy their machine learning capabilities and driving architectural choices for their core services. What You'll Be Doing
Build core systems for deploying machine learning capabilities
in both training and production environments. Drive technology and architectural choices
for core services to enable rapid building and iteration on user experiences. Extract data from tax documents into structured data , focusing on increasing the quality and scalability of the output. Design and build the integration
of ML inference, monitoring systems, LLM interactions, application layers, and tax-related business logic. Develop
database layers
supporting business logic and applications, and integrate data with external vendor APIs. Collaborate on effective
CI/CD systems
to accelerate development. Engage directly with accountants
to deeply understand their needs and challenges. 5+ years
of experience in backend software engineering. Focus on Python
in well-established engineering teams. Demonstrated history of thoughtful and pragmatic decision-making. Salary:
$200K - $325K Equity:
Stock options also included. Visa Sponsorship:
Available. Work Policy:
Fully in-office, 5 days a week in Union Square, San Francisco. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates.If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailinghuman-resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.
#J-18808-Ljbffr
San Francisco, CA (Union Square) Employment Type:
Full-time On-site:
5 days a week in-office About the Role
Our client, an AI company recently acquired by a major industry leader, builds a
GenAI-native platform that automates tax document processing , serving top accounting firms and private wealth offices. Their technology achieves high accuracy by turning tens of thousands of pages of complex tax documents into structured data in minutes. They are seeking an
exceptional Member of Technical Staff (Backend)
with a desire for outsized responsibility and impact. This engineer will be crucial in
building the core systems
that deploy their machine learning capabilities and driving architectural choices for their core services. What You'll Be Doing
Build core systems for deploying machine learning capabilities
in both training and production environments. Drive technology and architectural choices
for core services to enable rapid building and iteration on user experiences. Extract data from tax documents into structured data , focusing on increasing the quality and scalability of the output. Design and build the integration
of ML inference, monitoring systems, LLM interactions, application layers, and tax-related business logic. Develop
database layers
supporting business logic and applications, and integrate data with external vendor APIs. Collaborate on effective
CI/CD systems
to accelerate development. Engage directly with accountants
to deeply understand their needs and challenges. 5+ years
of experience in backend software engineering. Focus on Python
in well-established engineering teams. Demonstrated history of thoughtful and pragmatic decision-making. Salary:
$200K - $325K Equity:
Stock options also included. Visa Sponsorship:
Available. Work Policy:
Fully in-office, 5 days a week in Union Square, San Francisco. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates.If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailinghuman-resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.
#J-18808-Ljbffr