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 the North America, South America, and Europe to help them hire.
Our client is dedicated to speeding up the pace of innovation at manufacturing companies, by automating the identification of regulations for any product. They are seed round.
Do not wait to apply after reading this description a high application volume is expected for this opportunity.
Their Mission
They are building an AI / LLM platform to accelerate product development at manufacturing companies. They do that by creating NLP pipelines that identify all regulations that are relevant to any product in development, such as an electric battery or the latest level-4 autonomous driving system.
As engineers, reading complex legal and regulatory documents are often the last things we want to do. What we’re building means that teams will never have to pore over 1000-page PDFs via Google Translate ever again, and can instead focus entirely on building the best systems that the world needs today.
In short, what you build with us will directly lead to companies launching physical products months faster than before.
Our Culture
Our mission starts with us. To build a transformation product, we need to feel supported, intellectually challenged, and above all surrounded by kind, team-oriented colleagues.
- Our mental and physical health comes first. We encourage our team to take time off when needed, and trust that we will too.
- We value ownership, creativity, camaraderie, vulnerability, and transparency. We celebrate wins and face challenges head-on.
- Diversity, equity, and inclusion is at our core. We’re committed to hiring and retaining talent from underrepresented folks in tech and outside of tech.
Overview of Role
The ideal candidate has a deep LLM / NLP background paired with a strong backend skillset, and has experience iterating quickly in a startup environment.
You are ready to work with new technologies and learn whatever is needed to solve the challenges we will face. You will have complete, end-to-end ownership of our core models working closely with our data engineers and iterating with our customers.
Depending on your interest, this role can be an IC or have a team built around it. If you aspire to be an entrepreneur or an engineering leader, this role is for you.
They are hybrid, and based out of NYC. If you are not currently in NYC, we would ask you to plan to move to the city in the next few months.
Responsibilities
- Collaborate closely with founding team members to translate product strategy into iterative, scalable product / model versions that can be rapidly deployed for user testing
- Lead the team in selecting the appropriate technology stack, framework, and tools to enable experimentation, testing, and tracking
- Own the architecture and development of the working product / models and beyond
- Strategize and articulate tradeoffs between speed and scalability
Qualifications
- Bachelors or Masters in Computer Science, Engineering, or other related field
- 3+ years of professional experience
- A highly analytical approach and proven ability to solve technical problems with ML, NLP, and LLMs (commercial, open-source, and proprietary)
- Product-oriented and comfortable working in a dynamic environment with evolving objectives and fast iteration with users
- Strong backend skillset with experience building production systems, beyond just a proof-of-concept
- Expertise in programming languages (e.g., Python), experience with ML / NLP frameworks (e.g., LangChain, TensorFlow, PyTorch, BERT), and experience working with various LLMs (e.
g., OpenAI, Anthropic, Llama, Mistral)
- Excellent communication skills and low ego
- US work authorization is required; we do not currently support visa transfers
Nice to haves
Experience with cloud service providers (e.g., AWS), and IIAC (Terraform, Cloudformation)
Compensation
- $130,000-$170,000
- Competitive equity
- Healthcare coverage
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