Fieldguide
Senior Machine Learning Engineer
Fieldguide, San Francisco, California, United States, 94199
About Us:
Fieldguide is establishing a new state of trust for global commerce and capital markets through automating and streamlining the work of assurance and audit practitioners specifically within cybersecurity, privacy, and ESG (Environmental, Social, Governance). Put simply, we build software for the people who enable trust between businesses.
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 Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, DNX Ventures, Global Founders Capital, Justin Kan, Elad Gil, and more.
We value diversity — in backgrounds and in experiences. We need people from all backgrounds and walks of life to help build the future of audit and advisory. Fieldguide’s team is inclusive, driven, humble and supportive. We are deliberate and self-reflective about the kind of team and culture that we are building, seeking teammates that are not only strong in their own aptitudes but care deeply about supporting each other's growth.
As an early stage start-up employee, you’ll have the opportunity to build out the future of business trust. We make audit practitioners’ lives easier by eliminating up to 50% of their work and giving them better work-life balance. If you share our values and enthusiasm for building a great culture and product, you will find a home at Fieldguide.
About the Role:
As a Senior Machine Learning Engineer at Fieldguide, you'll play a crucial role in developing and implementing ML-driven features that enhance our platform's capabilities in the audit and advisory industry. You'll focus on building first generation ML applications, particularly in the areas of Natural Language Processing (NLP) and generative AI, while contributing to the growth of our rapidly scaling Series B-stage company. This role requires a balance of practical application skills and the ability to conduct necessary research to solve complex problems.
This is an opportunity to join as an early engineer at a company with product-market fit that still has huge amounts of room to grow. We’re competing with legacy accounting and audit products that are 20+ years old and have negative NPS, yet do billions in sales and have seen little competition in a decade.
What You'll Do:
Collaborate with stakeholders to identify and map business problems to ML solutionsDesign, develop, and implement ML models with a focus on NLP and generative AI applicationsCurate, clean, and prepare data for model development and trainingCreate and maintain ETL jobs for data processingConduct rapid prototyping of ML solutions to quickly iterate on ideasStay current with the latest advancements in ML, particularly in NLP and generative AICollaborate with the platform engineering team to integrate ML solutions into the overall product architectureImplement data flywheels to continuously improve ML features through increased usageDefine and implement ML performance metricsContribute to the product roadmap with ML-driven feature ideasBe an essential technical contributor at a Series B-stage company as it scalesAbout You:
4-5 years of experience in applied machine learning or related fieldStrong proficiency in Python and its ML/data science librariesExtensive experience with NLP techniques and generative AI technologiesExperience with LLMs and both text-to-text and text-to-image generative modelsProficiency in working with large datasets and creating ETL processesExperience with version control systems (e.g., Git) and CI/CD practicesAbility to work in a fast-paced, changing startup environmentNice to Haves:
Experience with rapid prototyping of ML solutionsFamiliarity with model deployment processesKnowledge of ML ops and experience building automated ML pipelinesExperience with A/B testing and statistical analysisModern web tech stacks consisting of several of the following: TypeScript, React, GraphQL, NodeJS, Hasura, Postgres, and AWSBackground in or exposure to the audit and advisory industryExperience presenting technical concepts to non-technical stakeholdersExperience mentoring or leading small teamsMore about Fieldguide:
Fieldguide is a values-based company. Our values are:Fearless - Inspire & break down seemingly impossible walls.Fast - Launch fast with excellence, iterate to perfection.Lovable - Deliver happiness & 11 star experiences.Owners - Execute & run the business with ownership.Win-win - Create mutual value & earn trust for life.Inclusive - Scale the best ideas with inclusive teams.Some of our benefits include:
Competitive compensation packages with meaningful ownershipUnlimited PTO401kWellness benefits, including a bundle of free therapy sessionsTechnology & Work from Home reimbursementFlexible work schedulesCompensation Range: $180K - $206K
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Fieldguide is establishing a new state of trust for global commerce and capital markets through automating and streamlining the work of assurance and audit practitioners specifically within cybersecurity, privacy, and ESG (Environmental, Social, Governance). Put simply, we build software for the people who enable trust between businesses.
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 Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, DNX Ventures, Global Founders Capital, Justin Kan, Elad Gil, and more.
We value diversity — in backgrounds and in experiences. We need people from all backgrounds and walks of life to help build the future of audit and advisory. Fieldguide’s team is inclusive, driven, humble and supportive. We are deliberate and self-reflective about the kind of team and culture that we are building, seeking teammates that are not only strong in their own aptitudes but care deeply about supporting each other's growth.
As an early stage start-up employee, you’ll have the opportunity to build out the future of business trust. We make audit practitioners’ lives easier by eliminating up to 50% of their work and giving them better work-life balance. If you share our values and enthusiasm for building a great culture and product, you will find a home at Fieldguide.
About the Role:
As a Senior Machine Learning Engineer at Fieldguide, you'll play a crucial role in developing and implementing ML-driven features that enhance our platform's capabilities in the audit and advisory industry. You'll focus on building first generation ML applications, particularly in the areas of Natural Language Processing (NLP) and generative AI, while contributing to the growth of our rapidly scaling Series B-stage company. This role requires a balance of practical application skills and the ability to conduct necessary research to solve complex problems.
This is an opportunity to join as an early engineer at a company with product-market fit that still has huge amounts of room to grow. We’re competing with legacy accounting and audit products that are 20+ years old and have negative NPS, yet do billions in sales and have seen little competition in a decade.
What You'll Do:
Collaborate with stakeholders to identify and map business problems to ML solutionsDesign, develop, and implement ML models with a focus on NLP and generative AI applicationsCurate, clean, and prepare data for model development and trainingCreate and maintain ETL jobs for data processingConduct rapid prototyping of ML solutions to quickly iterate on ideasStay current with the latest advancements in ML, particularly in NLP and generative AICollaborate with the platform engineering team to integrate ML solutions into the overall product architectureImplement data flywheels to continuously improve ML features through increased usageDefine and implement ML performance metricsContribute to the product roadmap with ML-driven feature ideasBe an essential technical contributor at a Series B-stage company as it scalesAbout You:
4-5 years of experience in applied machine learning or related fieldStrong proficiency in Python and its ML/data science librariesExtensive experience with NLP techniques and generative AI technologiesExperience with LLMs and both text-to-text and text-to-image generative modelsProficiency in working with large datasets and creating ETL processesExperience with version control systems (e.g., Git) and CI/CD practicesAbility to work in a fast-paced, changing startup environmentNice to Haves:
Experience with rapid prototyping of ML solutionsFamiliarity with model deployment processesKnowledge of ML ops and experience building automated ML pipelinesExperience with A/B testing and statistical analysisModern web tech stacks consisting of several of the following: TypeScript, React, GraphQL, NodeJS, Hasura, Postgres, and AWSBackground in or exposure to the audit and advisory industryExperience presenting technical concepts to non-technical stakeholdersExperience mentoring or leading small teamsMore about Fieldguide:
Fieldguide is a values-based company. Our values are:Fearless - Inspire & break down seemingly impossible walls.Fast - Launch fast with excellence, iterate to perfection.Lovable - Deliver happiness & 11 star experiences.Owners - Execute & run the business with ownership.Win-win - Create mutual value & earn trust for life.Inclusive - Scale the best ideas with inclusive teams.Some of our benefits include:
Competitive compensation packages with meaningful ownershipUnlimited PTO401kWellness benefits, including a bundle of free therapy sessionsTechnology & Work from Home reimbursementFlexible work schedulesCompensation Range: $180K - $206K
#J-18808-Ljbffr