Fieldguide is a modern, award-winning AI platform designed for advisory and audit firms. It helps streamline engagements, increase efficiency, and improve client satisfaction through its end-to-end engagement analytics. The platform supports various services, including risk advisory, cybersecurity and privacy, regulatory compliance, SOC readiness and audits, IT audits, and financial audits. Fieldguide integrates with popular productivity and IT tools to provide a seamless user experience, allowing for automated management of requests, documents, and reports. Trusted by top industry firms, Fieldguide enhances the practice of audit and advisory services with AI-driven innovations that save time and improve margins.
Compliance Software β’ Compliance Audit & Advisory β’ Audit Engagement Software β’ Workflow Automation & Artificial Intelligence β’ Enterprise Cloud
September 5, 2024
π California β Remote
π΅ $180k - $206k / year
β° Full Time
π Senior
π€ Machine Learning Engineer
π¦ H1B Visa Sponsor
Fieldguide is a modern, award-winning AI platform designed for advisory and audit firms. It helps streamline engagements, increase efficiency, and improve client satisfaction through its end-to-end engagement analytics. The platform supports various services, including risk advisory, cybersecurity and privacy, regulatory compliance, SOC readiness and audits, IT audits, and financial audits. Fieldguide integrates with popular productivity and IT tools to provide a seamless user experience, allowing for automated management of requests, documents, and reports. Trusted by top industry firms, Fieldguide enhances the practice of audit and advisory services with AI-driven innovations that save time and improve margins.
Compliance Software β’ Compliance Audit & Advisory β’ Audit Engagement Software β’ Workflow Automation & Artificial Intelligence β’ Enterprise Cloud
As a Senior Machine Learning Engineer at Fieldguide, you'll develop ML-driven features for the audit industry Focus on building ML applications in NLP and generative AI Collaborate with stakeholders on ML solutions Design and implement ML models Curate and prepare data for model training Create and maintain ETL jobs Conduct rapid prototyping of ML solutions Stay current with ML advancements Collaborate with engineering teams to integrate ML solutions Implement data flywheels to improve ML features Define and implement ML performance metrics Contribute to the product roadmap with ML feature ideas
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
Competitive compensation packages with meaningful ownership Unlimited PTO 401k Wellness benefits, including a bundle of free therapy sessions Technology & Work from Home reimbursement Flexible work schedules
Apply NowAugust 23, 2024
Design and deploy machine learning models for a delivery solutions company.
πΊπΈ United States β Remote
π° Pre Seed Round on 2021-06
β° Full Time
π Senior
π€ Machine Learning Engineer
June 15, 2024
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