Aitopics
Senior Machine Learning Engineer
Aitopics, San Francisco, California, United States, 94199
Fieldguide
The Fieldguide AI Platform for Advisory & Audit provides an engagement automation platform for advisory and audit firms to save time, increase margins, and improve client satisfaction. 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). 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, seeking teammates that care deeply about supporting each other's growth. About the Role: As a Senior Machine Learning Engineer at Fieldguide, you'll develop and implement 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 Natural Language Processing (NLP) and generative AI, while contributing to the growth of our rapidly scaling Series B-stage company. What You'll Do: Collaborate with stakeholders to identify and map business problems to ML solutions Design, develop, and implement ML models with a focus on NLP and generative AI applications Curate, clean, and prepare data for model development and training Create and maintain ETL jobs for data processing Conduct rapid prototyping of ML solutions Stay current with the latest advancements in ML, particularly in NLP and generative AI Collaborate with the platform engineering team to integrate ML solutions into the overall product architecture Implement data flywheels to continuously improve ML features Define and implement ML performance metrics Contribute to the product roadmap with ML-driven feature ideas Be an essential technical contributor at a Series B-stage company as it scales About You: 4-5 years of experience in applied machine learning or related field Strong proficiency in Python and its ML/data science libraries Extensive experience with NLP techniques and generative AI technologies Experience with LLMs and both text-to-text and text-to-image generative models Proficiency in working with large datasets and creating ETL processes Experience with version control systems (e.g., Git) and CI/CD practices Ability to work in a fast-paced, changing startup environment Nice to Haves: Experience with rapid prototyping of ML solutions Familiarity with model deployment processes Knowledge of ML ops and experience building automated ML pipelines Experience with A/B testing and statistical analysis Modern web tech stacks consisting of several of the following: TypeScript, React, GraphQL, NodeJS, Hasura, Postgres, and AWS Background in or exposure to the audit and advisory industry Experience presenting technical concepts to non-technical stakeholders Experience mentoring or leading small teams More 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 ownership Unlimited PTO 401k Wellness benefits, including a bundle of free therapy sessions Technology & Work from Home reimbursement
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The Fieldguide AI Platform for Advisory & Audit provides an engagement automation platform for advisory and audit firms to save time, increase margins, and improve client satisfaction. 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). 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, seeking teammates that care deeply about supporting each other's growth. About the Role: As a Senior Machine Learning Engineer at Fieldguide, you'll develop and implement 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 Natural Language Processing (NLP) and generative AI, while contributing to the growth of our rapidly scaling Series B-stage company. What You'll Do: Collaborate with stakeholders to identify and map business problems to ML solutions Design, develop, and implement ML models with a focus on NLP and generative AI applications Curate, clean, and prepare data for model development and training Create and maintain ETL jobs for data processing Conduct rapid prototyping of ML solutions Stay current with the latest advancements in ML, particularly in NLP and generative AI Collaborate with the platform engineering team to integrate ML solutions into the overall product architecture Implement data flywheels to continuously improve ML features Define and implement ML performance metrics Contribute to the product roadmap with ML-driven feature ideas Be an essential technical contributor at a Series B-stage company as it scales About You: 4-5 years of experience in applied machine learning or related field Strong proficiency in Python and its ML/data science libraries Extensive experience with NLP techniques and generative AI technologies Experience with LLMs and both text-to-text and text-to-image generative models Proficiency in working with large datasets and creating ETL processes Experience with version control systems (e.g., Git) and CI/CD practices Ability to work in a fast-paced, changing startup environment Nice to Haves: Experience with rapid prototyping of ML solutions Familiarity with model deployment processes Knowledge of ML ops and experience building automated ML pipelines Experience with A/B testing and statistical analysis Modern web tech stacks consisting of several of the following: TypeScript, React, GraphQL, NodeJS, Hasura, Postgres, and AWS Background in or exposure to the audit and advisory industry Experience presenting technical concepts to non-technical stakeholders Experience mentoring or leading small teams More 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 ownership Unlimited PTO 401k Wellness benefits, including a bundle of free therapy sessions Technology & Work from Home reimbursement
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