Software Engineer, AI
Fieldguide provided pay range
This range is provided by Fieldguide. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$120,000.00/yr - $200,000.00/yr
Fieldguide powers the most complex compliance and financial audits performed by accounting and advisory firms. With Fieldguide, firms save thousands of hours per year, transforming the operations of their practices and modernizing the experience of their clients.
For most companies, security and compliance standards are complex business inhibitors. We aim to transform security and compliance into business enablers that are accessible to everyone. Through our network of the most efficient audit firms, all powered by Fieldguide, companies are able to secure their businesses and establish customer trust like never before.
As a Software Engineer (AI) At Fieldguide, You’ll Be An Early Member Of The Team, Taking a Front-row Seat As We Build Both The Company And The Engineering Organization To Tackle The Massive And Archaic Audit And Advisory Industry. The Following Should Describe You
You want to join an early stage company: We're young, but we've found strong demand for our products and are growing quickly. We've landed numerous top audit and advisory firms as customers, displaced entrenched legacy technology, and have high demand for product access.
You believe that great design and UX are requirements: We bring a user-centered approach to problem solving, focusing deeply on our customers. We're competing with legacy software that was built in the 1990's. These products have extremely low user satisfaction, but are worth billions of dollars just because they're entrenched with so many firms.
You're obsessed with data: We have a rich dataset that is ripe for automation and AI. With our data advantage, we can provide our users with intelligent automation, predictions of common workflow patterns, and analytics that will fundamentally change the structure of audits.
You greatly value culture: Our goals are lofty, we work very hard, and we want to transform an industry. More importantly, we also work responsibly. We place a premium on building a sustainable, inclusive, high EQ, high feedback, and safe company that celebrates individuals of all backgrounds.
Responsibilities
Be an essential technical contributor at a seed-stage company as it scales
Play a leadership role on the end-to-end development of features, specifically in regards to making architectural decisions and trading off different approaches
Bring a mindset of continuous improvement to your work. You’ll be responsible for making our technology and processes better over time.
Understand how to optimize for iteration speed while maintaining a high quality bar and technical rigor
You’ll need to have experience with several the following:
3+ years of engineering experience
Excitement for product-focused application of ML/AI - this will be a production-focused role
Understanding of ML concepts like supervised/unsupervised/self-supervised learning, neural networks and deep learning
Understanding of modern ML/AI technologies, including natural language processing (NLP) and LLMs (e.g., GPT-3+, open source models, etc.), RAG architectures, and their applications
Exceptional technical proficiency with at least one programming language, particularly Python or TypeScript
Experience architecting systems and data pipelines that can handle the ingestion, digitalization, storage, and retrieval of document-heavy data sets, including document processing, search, and classification
Experience in developing, testing, evaluating and deploying ML models
Collaborating on all aspects of product strategy and UX
Experience shaping an early stage tech stack and product, and engineering organization
Nice To Haves
Experience training, fine-tuning, and deploying LLMs
Familiarity with ML frameworks and tools such as TensorFlow, PyTorch, Keras, scikit-learn
Familiarity with modern web tech stacks consisting of several of the following: TypeScript, React, GraphQL, NodeJS, Hasura, Postgres, Python, and AWS
Experience with cloud computing platforms like AWS
Experience with DevOps and continuous integration/delivery best practices
About Fieldguide Fieldguide is establishing the State of Trust for global commerce. We aim to make security and compliance a business enabler for every organization. Through our network of the most efficient professionals, all powered by Fieldguide, companies are able to secure their businesses and establish customer trust like never before. We’re based in San Francisco, CA, but built as a remote-first company that enables you to do your best work from anywhere. We're backed by top investors including 8VC, Floodgate, Y Combinator, and many more.
At Fieldguide, we are committed to building a diverse and inclusive company that celebrates individuals of all backgrounds. We’re an equal opportunity employer and encourage all applicants.
For most companies, security and compliance standards are complex business inhibitors. We aim to transform security and compliance into business enablers that are accessible to everyone. Through our network of the most efficient audit firms, all powered by Fieldguide, companies are able to secure their businesses and establish customer trust like never before.
As a Software Engineer (AI) At Fieldguide, You’ll Be An Early Member Of The Team, Taking a Front-row Seat As We Build Both The Company And The Engineering Organization To Tackle The Massive And Archaic Audit And Advisory Industry. The Following Should Describe You
You want to join an early stage company: We're young, but we've found strong demand for our products and are growing quickly. We've landed numerous top audit and advisory firms as customers, displaced entrenched legacy technology, and have high demand for product access.
You believe that great design and UX are requirements: We bring a user-centered approach to problem solving, focusing deeply on our customers. We're competing with legacy software that was built in the 1990's. These products have extremely low user satisfaction, but are worth billions of dollars just because they're entrenched with so many firms.
You're obsessed with data: We have a rich dataset that is ripe for automation and AI. With our data advantage, we can provide our users with intelligent automation, predictions of common workflow patterns, and analytics that will fundamentally change the structure of audits.
You greatly value culture: Our goals are lofty, we work very hard, and we want to transform an industry. More importantly, we also work responsibly. We place a premium on building a sustainable, inclusive, high EQ, high feedback, and safe company that celebrates individuals of all backgrounds.
Responsibilities
Be an essential technical contributor at a seed-stage company as it scales
Play a leadership role on the end-to-end development of features, specifically in regards to making architectural decisions and trading off different approaches
Bring a mindset of continuous improvement to your work. You’ll be responsible for making our technology and processes better over time.
Understand how to optimize for iteration speed while maintaining a high quality bar and technical rigor
You’ll need to have experience with several the following:
3+ years of engineering experience
Excitement for product-focused application of ML/AI - this will be a production-focused role
Understanding of ML concepts like supervised/unsupervised/self-supervised learning, neural networks and deep learning
Understanding of modern ML/AI technologies, including natural language processing (NLP) and LLMs (e.g., GPT-3+, open source models, etc.), RAG architectures, and their applications
Exceptional technical proficiency with at least one programming language, particularly Python or TypeScript
Experience architecting systems and data pipelines that can handle the ingestion, digitalization, storage, and retrieval of document-heavy data sets, including document processing, search, and classification
Experience in developing, testing, evaluating and deploying ML models
Collaborating on all aspects of product strategy and UX
Experience shaping an early stage tech stack and product, and engineering organization
Nice To Haves
Experience training, fine-tuning, and deploying LLMs
Familiarity with ML frameworks and tools such as TensorFlow, PyTorch, Keras, scikit-learn
Familiarity with modern web tech stacks consisting of several of the following: TypeScript, React, GraphQL, NodeJS, Hasura, Postgres, Python, and AWS
Experience with cloud computing platforms like AWS
Experience with DevOps and continuous integration/delivery best practices
About Fieldguide Fieldguide is establishing the State of Trust for global commerce. We aim to make security and compliance a business enabler for every organization. Through our network of the most efficient professionals, all powered by Fieldguide, companies are able to secure their businesses and establish customer trust like never before. We’re based in San Francisco, CA, but built as a remote-first company that enables you to do your best work from anywhere. We're backed by top investors including 8VC, Floodgate, Y Combinator, and many more.
At Fieldguide, we are committed to building a diverse and inclusive company that celebrates individuals of all backgrounds. We’re an equal opportunity employer and encourage all applicants.
-
Seniority level
Mid-Senior level -
Employment type
Full-time -
Job function
Engineering and Information Technology -
Industries
Software Development
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