Recruiting From Scratch
Senior Software Engineer, AI
Recruiting From Scratch, San Francisco, California, United States, 94199
Who is
Recruiting from Scratch :
Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams across North America, South America, and Europe to help them hire.
About Us:
We are 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, 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. Our 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 here.
About the Role:
We're looking for senior or above level engineers to join us. You'll have the opportunity to play a tech lead role on one of our current teams, or help with hiring and building out our next teams depending on your skills and interests. You'll also play a key role in shaping our engineering processes and culture.
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:
Be an essential technical contributor at a Series B-stage company as it scales.
Play a leadership role on the end-to-end development of features, specifically in regards to making architectural decisions and trading off different approaches.
Bring a mindset of continuous improvement to your work. You’ll be responsible for making our technology and processes better over time.
Understand how to optimize for iteration speed while maintaining a high quality bar and technical rigor.
You'll have experience with several of the following:
5+ years of engineering experience.
Excitement for product-focused application of ML/AI - this will be a production-focused role.
Exceptional technical proficiency with at least one programming language, particularly Python or TypeScript.
Understanding of ML concepts like supervised/unsupervised/self-supervised learning, neural networks and deep learning.
Understanding of modern ML/AI technologies, including natural language processing (NLP) and LLMs (e.g., GPT-3+, open source models, etc.), RAG architectures, and their applications.
Experience architecting systems and data pipelines that can handle the ingestion, digitalization, storage, and retrieval of document-heavy data sets, including document processing, search, and classification.
Experience in developing, testing, evaluating and deploying ML models.
Ability to collaborate on all aspects of product strategy and UX.
Experience shaping an early stage tech stack and product, and engineering organization.
Nice to haves:
Experience training, fine-tuning, and deploying LLMs.
Familiarity with ML frameworks and tools such as TensorFlow, PyTorch, Keras, scikit-learn.
Familiarity with modern web tech stacks consisting of several of the following: TypeScript, React, GraphQL, NodeJS, Hasura, Postgres, Python, and AWS.
Experience with cloud computing platforms like AWS.
Experience with DevOps and continuous integration/delivery best practices.
Some of our benefits include:
Competitive compensation packages with meaningful ownership:
$170-203k base + equity.
Healthcare:
We offer competitive medical, dental, and vision benefits.
401k:
We offer an optional 401k through Human Interest. We do not offer an employer match at this time.
Mental health:
We offer mental health and therapy benefits through SpringHealth.
Technology:
All employees get a MacBook Pro, as well a monitor, mouse, keyboard (or cash equivalent of those items if you'd like to buy other home office items).
Unlimited PTO:
Take the time off that you need to be the most productive and happy in your work.
Flexible schedules:
We maintain core hours from 9am - 1pm pacific time, and allow people to time shift as necessary around that. We’re extremely flexible with hours and time off, and understand that people need to take care of things from time-to-time. Take the time off you need. We trust our team members to find the right times for them to do their best work.
#J-18808-Ljbffr
Recruiting from Scratch :
Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams across North America, South America, and Europe to help them hire.
About Us:
We are 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, 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. Our 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 here.
About the Role:
We're looking for senior or above level engineers to join us. You'll have the opportunity to play a tech lead role on one of our current teams, or help with hiring and building out our next teams depending on your skills and interests. You'll also play a key role in shaping our engineering processes and culture.
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:
Be an essential technical contributor at a Series B-stage company as it scales.
Play a leadership role on the end-to-end development of features, specifically in regards to making architectural decisions and trading off different approaches.
Bring a mindset of continuous improvement to your work. You’ll be responsible for making our technology and processes better over time.
Understand how to optimize for iteration speed while maintaining a high quality bar and technical rigor.
You'll have experience with several of the following:
5+ years of engineering experience.
Excitement for product-focused application of ML/AI - this will be a production-focused role.
Exceptional technical proficiency with at least one programming language, particularly Python or TypeScript.
Understanding of ML concepts like supervised/unsupervised/self-supervised learning, neural networks and deep learning.
Understanding of modern ML/AI technologies, including natural language processing (NLP) and LLMs (e.g., GPT-3+, open source models, etc.), RAG architectures, and their applications.
Experience architecting systems and data pipelines that can handle the ingestion, digitalization, storage, and retrieval of document-heavy data sets, including document processing, search, and classification.
Experience in developing, testing, evaluating and deploying ML models.
Ability to collaborate on all aspects of product strategy and UX.
Experience shaping an early stage tech stack and product, and engineering organization.
Nice to haves:
Experience training, fine-tuning, and deploying LLMs.
Familiarity with ML frameworks and tools such as TensorFlow, PyTorch, Keras, scikit-learn.
Familiarity with modern web tech stacks consisting of several of the following: TypeScript, React, GraphQL, NodeJS, Hasura, Postgres, Python, and AWS.
Experience with cloud computing platforms like AWS.
Experience with DevOps and continuous integration/delivery best practices.
Some of our benefits include:
Competitive compensation packages with meaningful ownership:
$170-203k base + equity.
Healthcare:
We offer competitive medical, dental, and vision benefits.
401k:
We offer an optional 401k through Human Interest. We do not offer an employer match at this time.
Mental health:
We offer mental health and therapy benefits through SpringHealth.
Technology:
All employees get a MacBook Pro, as well a monitor, mouse, keyboard (or cash equivalent of those items if you'd like to buy other home office items).
Unlimited PTO:
Take the time off that you need to be the most productive and happy in your work.
Flexible schedules:
We maintain core hours from 9am - 1pm pacific time, and allow people to time shift as necessary around that. We’re extremely flexible with hours and time off, and understand that people need to take care of things from time-to-time. Take the time off you need. We trust our team members to find the right times for them to do their best work.
#J-18808-Ljbffr