Senior Machine Learning Engineer
- Posted: over a month ago
- $150,000 to $170,000 Yearly
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 8VC, Floodgate, Y Combinator, DNX Ventures, Global Founders Capital, Justin Kan, 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
We're a Series A-stage company that is growing quickly. We’re looking for our first machine learning engineer to join our team. You’ll have the opportunity to be a tech lead for our machine learning efforts, help us hire future ML engineers, and have a great deal of autonomy in building our ML organization from the ground up.
We have a data moat of documents, data points, and audit decisions that can't be found elsewhere. This dataset, combined with structured and unstructured data from third party systems, offers a wealth of potential for extracting valuable insights for our users.
In this role, you will be responsible for designing, implementing, and deploying machine learning models that can effectively process and analyze these complex datasets. Most importantly, you will work on improving our data flywheel, which will help to supercharge the performance of our models and unlock even more value for our customers.
You’ll also collaborate closely with platform, data, and product engineers, product managers, and data scientists to productionalize solutions and products that are powered by ML and ensure they’re loved by our customers.The following should describe you
5+ years of experience designing, developing, deploying machine learning solutions, ideally in B2B SaaS products
Exceptional foundational coding skills in Python or a similar language
Experience building scalable processes for extracting, preparing, and labeling large structured and unstructured data sets
Experience with ML pipelines and deploying ML services to production
Experience with NLP, deep learning, and other common ML algorithms and techniques (named-entity recognition, part-of-speech tagging, OCR, clustering, prediction, etc.)
Experience with machine learning frameworks (PyTorch, Jax, spaCy, scikit-learn, etc.)
Experience with data engineering and data processing pipelines (Kubernetes and deploying infrastructure on AWS is a plus)
Excellent communication skills and the ability to effectively communicate technical concepts and ideas to a non-technical audience.
Experience with agile software development methodologies, and the ability to manage and coordinate the work of a team of data scientists and engineers.
We’re a values-based company. In addition to technical skills, we look for mutual values alignment in every candidate. 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.
Competitive compensation packages with meaningful equity
Wellness benefits, including a bundle of free therapy sessions
Technology & Work From Home reimbursement
Flexible work schedules
Compensation Range: $150K - $170K
AddressSan Francisco, CA
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