We are looking for a Staff level Software Engineer with experience working with the latest LLMs from OpenAI Anthropic Gemini Mistral Llama etc. and custom fine-tuned models i.e(Defog Nous research) to help us advance our Manufacturing Systems and Operations. You will move fast prototyping ideas and experimenting with new approaches to solve existing problems better. nnThis role will work with and across multiple organizations and functional roles to develop solutions that not only end up in production but have a significant impact. Some solutions will be stand alone while others will be built on top of existing systems through a deep collaboration. We want someone that has experience taking an idea from the whiteboard to production and then scale it. You are going to get to do that again here.
The applications we build are used daily by the people at Apple that design our products along with those that figure out how to make them at scale. This includes; Manufacturing Design Engineers Product Designers Mechanical Engineers Quality Engineers Supply Chain Managers along with our Suppliers. We work closely with them to design and architect the best solutions for the challenges faced when making the highest quality hardware products.
10 years in a senior role working across the entire tech stack with a skilled team.n10 years building robust HTTP APIs and backend servicesnExpert level grasp of at least 1 modern programming language: Go (preferred) Python Java building solutions that leverage APIs from the latest LLMs.
Experience with model pipeline and registry tools detecting and preventing model drift automating model monitoring and ensuring model accuracynExperience building robust evaluations for prompt optimization and tuning ML workflowsnExperience with RAG and modern model in context learning techniquesnExperience with SQL and database systems such as PostgreSQLnExperience with building ETL pipeline in data warehouse such as SnowflakenManufacturing experience or exposure is a plus but not required.
Required Experience:
IC
We are looking for a Staff level Software Engineer with experience working with the latest LLMs from OpenAI Anthropic Gemini Mistral Llama etc. and custom fine-tuned models i.e(Defog Nous research) to help us advance our Manufacturing Systems and Operations. You will move fast prototyping ideas and ...
We are looking for a Staff level Software Engineer with experience working with the latest LLMs from OpenAI Anthropic Gemini Mistral Llama etc. and custom fine-tuned models i.e(Defog Nous research) to help us advance our Manufacturing Systems and Operations. You will move fast prototyping ideas and experimenting with new approaches to solve existing problems better. nnThis role will work with and across multiple organizations and functional roles to develop solutions that not only end up in production but have a significant impact. Some solutions will be stand alone while others will be built on top of existing systems through a deep collaboration. We want someone that has experience taking an idea from the whiteboard to production and then scale it. You are going to get to do that again here.
The applications we build are used daily by the people at Apple that design our products along with those that figure out how to make them at scale. This includes; Manufacturing Design Engineers Product Designers Mechanical Engineers Quality Engineers Supply Chain Managers along with our Suppliers. We work closely with them to design and architect the best solutions for the challenges faced when making the highest quality hardware products.
10 years in a senior role working across the entire tech stack with a skilled team.n10 years building robust HTTP APIs and backend servicesnExpert level grasp of at least 1 modern programming language: Go (preferred) Python Java building solutions that leverage APIs from the latest LLMs.
Experience with model pipeline and registry tools detecting and preventing model drift automating model monitoring and ensuring model accuracynExperience building robust evaluations for prompt optimization and tuning ML workflowsnExperience with RAG and modern model in context learning techniquesnExperience with SQL and database systems such as PostgreSQLnExperience with building ETL pipeline in data warehouse such as SnowflakenManufacturing experience or exposure is a plus but not required.
Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar
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