Machine Learning Engineer- Gen AI
Job Location:
Job Location:
San Diego, CA - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
7 hours ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Product Operations partners with a variety of different engineering and operations teams our team leads development of machine learning solutions. We deliver projects from end-to-end: problem statement and conceptualization proof-of-concept and participation in final deployment! You will also perform ad-hoc statistical analyses. nYou will also work closely with data engineers to generate detailed business intelligence solutions. You will be expected to conduct presentations of analyses to a wide range of audiences including executives.
Product Operations partners with a variety of different engineering and operations teams our team leads development of machine learning solutions. We deliver projects from end-to-end: problem statement and conceptualization proof-of-concept and participation in final deployment! nnYou will also perform ad-hoc statistical analyses. You will also work closely with data engineers to generate detailed business intelligence solutions. You will be expected to conduct presentations of analyses to a wide range of audiences including executives.
3 years experience in GenAI applications machine learning algorithms software engineering and data mining models with an emphasis on large language models (LLM) or large multimodal models (LMM).n Masters in Artificial intelligence Machine Learning Computer Science Statistics Operations Research Physics Mechanical Engineering Electrical Engineering or related field.
Proven experience in GenAI application building with agents and agentic workflows. Experience with LLM and LMM development and fine-tuning is a major in using cutting-edge GenAI tools i.e. Claude Code Roo Code with distributed computing cloud infrastructure and orchestration tools such as Kubernetes Apache Airflow (DAG) Docker Conductor Ray for LLM training and inference at scale is a -on experience with LangChain and LlamaIndex enabling RAG applications and LLM to meaningfully present results of analyses in a clear and impactful manner breaking down complex ML/LLM concepts for non-technical applying ML techniques in manufacturing testing or hardware optimization is a major experience in leading and mentoring teams is a plus.n
Product Operations partners with a variety of different engineering and operations teams our team leads development of machine learning solutions. We deliver projects from end-to-end: problem statement and conceptualization proof-of-concept and participation in final deployment! nnYou will also perform ad-hoc statistical analyses. You will also work closely with data engineers to generate detailed business intelligence solutions. You will be expected to conduct presentations of analyses to a wide range of audiences including executives.
3 years experience in GenAI applications machine learning algorithms software engineering and data mining models with an emphasis on large language models (LLM) or large multimodal models (LMM).n Masters in Artificial intelligence Machine Learning Computer Science Statistics Operations Research Physics Mechanical Engineering Electrical Engineering or related field.
Proven experience in GenAI application building with agents and agentic workflows. Experience with LLM and LMM development and fine-tuning is a major in using cutting-edge GenAI tools i.e. Claude Code Roo Code with distributed computing cloud infrastructure and orchestration tools such as Kubernetes Apache Airflow (DAG) Docker Conductor Ray for LLM training and inference at scale is a -on experience with LangChain and LlamaIndex enabling RAG applications and LLM to meaningfully present results of analyses in a clear and impactful manner breaking down complex ML/LLM concepts for non-technical applying ML techniques in manufacturing testing or hardware optimization is a major experience in leading and mentoring teams is a plus.n
Required Experience:
IC
About Company
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 ... View more
