Senior Machine Learning Engineer at Cssmerge · LumiJobs
full time
On Site
senior
$175k–$230k
H1B: no
Cssmerge Senior Machine Learning Engineer building AI intelligence engines and applications for the food industry. Utilize advanced ML methodologies including LLMs, deep learning, and graph neural networks to solve diverse challenges.
Responsibilities
As a Machine Learning Engineer at Atoms, you'll be an integral part of building out the state-of-the-art AI intelligence engine and applications for the food industry. Your role will encompass a diverse range of responsibilities, including:
Leverage cutting-edge machine learning and statistical methodologies, including large language models (LLMs), deep learning, and graph neural networks, to address diverse challenges, including areas such as AI agents, order logistics prediction and optimization, robotics automation, recommendation systems, knowledge graph building and mining, etc
Develop and deploy robust, low-maintenance applied machine learning solutions in a production environment.
Create onboarding codelabs, tools, and infrastructure to democratize access to machine learning resources.
Collaborative Teamwork: Work closely with a team to enhance and support technology
Innovation: Drive innovation within the team and support Atoms technological advancements
Qualification
Bachelors degree requiredHigh energy rapid software developmentProficient in Python
Required
Bachelors degree required
Advanced degree (PhD or Master) in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field is required with preferred 3+ years of relevant experience
Deep knowledge and experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc.
Working knowledge in one or more of the following: generative AI, data mining, information retrieval, advanced statistics or natural language processing, computer vision, etc
High energy rapid software development, iterating and pivoting quickly
Strong ability to design and create long-lasting architecture from scratch and evolve existing systems
