Senior Machine Learning Engineer, Fieldguide

$180-206k

+ Equity

React
AWS
TypeScript
Python
GraphQL
Node.js
Postgres
Git
Mid and Senior level
Remote in US
San Francisco Bay Area
Fieldguide

Software for assurance & advisory firms

Be an early applicant

Fieldguide

Software for assurance & advisory firms

21-100 employees

B2BEnterpriseInternal toolsSaaSAccountingAutomation

Be an early applicant

$180-206k

+ Equity

React
AWS
TypeScript
Python
GraphQL
Node.js
Postgres
Git
Mid and Senior level
Remote in US
San Francisco Bay Area

21-100 employees

B2BEnterpriseInternal toolsSaaSAccountingAutomation

Company mission

Fieldguide's mission is to increase trust in commerce and capital markets.

Role

Who you are

  • This role requires a balance of practical application skills and the ability to conduct necessary research to solve complex problems
  • 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

Desirable

  • 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

What the job involves

  • 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 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
  • Be an essential technical contributor at a Series B-stage company as it scales
  • 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 to quickly iterate on ideas
  • 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 through increased usage
  • Define and implement ML performance metrics
  • Contribute to the product roadmap with ML-driven feature ideas

Our take

Fieldguide offers a cloud-native collaboration and automation platform for accounting and advisory practices. The idea is to make workflow and collaboration more streamlined, and automate parts of it altogether, for teams working on cybersecurity, risk, and ESG audits.

Fieldguide has launched with a focus on three high-demand and high-growth areas of business. With cybersecurity and ESG in particular seeing increased corporate investment, thanks to the steep costs of error or regulatory non-compliance, demand for tech that can help manage this influx of auditing work is likely to grow fast. Indeed, Fieldguide has received an impressive funding injection which will see the company looking to expand the kinds of audit their product applies to, as well as aggressively growing their team.

Fieldguide has already netted some key audit and advisory firms as clients and a substantial Series B funding round, suggesting that the young company is onto something good. Internal productivity tools are seeing a boom across multiple industries, with automation also seeing a significant uptake for enterprise businesses. If Fieldguide can successfully manage its scale-up, it could become an important software player.

Kirsty headshot

Kirsty

Company Specialist

Insights

Top investors

Some candidates hear
back within 2 weeks

55% employee growth in 12 months

Company

Funding (last 2 of 3 rounds)

Mar 2024

$30m

SERIES B

Mar 2022

$17m

SERIES A

Total funding: $47.2m

Company benefits

  • Health
  • Dental
  • PTO

Company values

  • 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

Company HQ

Eureka Valley, San Francisco, CA

Leadership

Previously co-founded live video streaming platform Vivo, before moving on to work in software development at Fireman Creative. Subsequently held various high level positions, including CTO at JazzHR, and VP of Engineering, Product, and Design at Atrium.

Originally a Management Consultant at EY, before co-founding blockchain aggregation API company, Bitbutter. Moved on to serve as Chief of Staff at Atrium.

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