Fieldguide.ai
Senior Platform Engineer, Machine Learning
Fieldguide.ai, 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, Y Combinator, Floodgate, Elad Gil, Justin Kan, Qasar Younis, Eric Ries, 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 Platform Engineer, Machine Learning, at Fieldguide, you'll be responsible for building and maintaining the infrastructure that powers our ML solutions in the audit and advisory industry. You'll create scalable, efficient systems for model deployment, monitoring, and continuous improvement, enabling our ML Engineers to deliver impactful solutions. This role is crucial in bridging the gap between ML development and production-ready systems in our rapidly scaling Series B-stage company.
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:Design and implement infrastructure for ML model management, including training, deployment, and monitoringBuild and maintain platforms for running ML algorithms at scaleDevelop systems for A/B testing, performance monitoring, and continuous model trainingCreate and manage ETL infrastructure to support ML workflowsImplement best practices for MLOps, including version control for models and datasetsCollaborate with ML Engineers to optimize model performance and resource utilizationEnsure the scalability, reliability, and security of ML systemsStay current with the latest advancements in MLOps and cloud technologiesContribute to the development of internal tools and frameworks to improve ML workflow efficiencyBe an essential technical contributor at a Series B-stage company as it scalesAbout You:
3-4 years of experience in software engineering, DevOps, or related field with a focus on ML systemsExperience with ML frameworksExperience with cloud platforms, preferably AWSExperience with container runtime architectures, preferably KubernetesProficiency with at least one programming language, preferably Python or TypescriptFamiliarity with CI/CD practices and toolsExperience with Infrastructure as Code (IaC) tools like Terraform or CloudFormationStrong understanding of distributed systems and microservices architectureAbility to work in a fast-paced, changing startup environmentNice to Haves:
Experience with distributed computing frameworks (e.g., Apache Spark)Familiarity with ML experiment tracking tools (e.g., MLFlow, Weights & Biases)Knowledge of data versioning and feature store technologiesExperience with high-volume, real-time data processingFamiliarity with data security and access control for ML systemsExperience with cloud cost management and optimization for ML workloadsModern web tech stacks consisting of several of the following: GraphQL, NodeJS, Hasura, PostgresBackground 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 schedules
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, Y Combinator, Floodgate, Elad Gil, Justin Kan, Qasar Younis, Eric Ries, 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 Platform Engineer, Machine Learning, at Fieldguide, you'll be responsible for building and maintaining the infrastructure that powers our ML solutions in the audit and advisory industry. You'll create scalable, efficient systems for model deployment, monitoring, and continuous improvement, enabling our ML Engineers to deliver impactful solutions. This role is crucial in bridging the gap between ML development and production-ready systems in our rapidly scaling Series B-stage company.
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:Design and implement infrastructure for ML model management, including training, deployment, and monitoringBuild and maintain platforms for running ML algorithms at scaleDevelop systems for A/B testing, performance monitoring, and continuous model trainingCreate and manage ETL infrastructure to support ML workflowsImplement best practices for MLOps, including version control for models and datasetsCollaborate with ML Engineers to optimize model performance and resource utilizationEnsure the scalability, reliability, and security of ML systemsStay current with the latest advancements in MLOps and cloud technologiesContribute to the development of internal tools and frameworks to improve ML workflow efficiencyBe an essential technical contributor at a Series B-stage company as it scalesAbout You:
3-4 years of experience in software engineering, DevOps, or related field with a focus on ML systemsExperience with ML frameworksExperience with cloud platforms, preferably AWSExperience with container runtime architectures, preferably KubernetesProficiency with at least one programming language, preferably Python or TypescriptFamiliarity with CI/CD practices and toolsExperience with Infrastructure as Code (IaC) tools like Terraform or CloudFormationStrong understanding of distributed systems and microservices architectureAbility to work in a fast-paced, changing startup environmentNice to Haves:
Experience with distributed computing frameworks (e.g., Apache Spark)Familiarity with ML experiment tracking tools (e.g., MLFlow, Weights & Biases)Knowledge of data versioning and feature store technologiesExperience with high-volume, real-time data processingFamiliarity with data security and access control for ML systemsExperience with cloud cost management and optimization for ML workloadsModern web tech stacks consisting of several of the following: GraphQL, NodeJS, Hasura, PostgresBackground 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 schedules