Welocalize
Generative AI & NLP Specialist needed to design and develop cutting-edge AI-driven systems, enhancing translation systems using advanced NLP techniques and GenAI.
Welocalize
Develop machine learning solutions for localization and business workflow processes using Python and AWS services.
Welocalize
Develop and implement machine learning models for localization and business workflow processes using Python and AWS services.
Welocalize
Machine Learning Engineer for localization and business workflow processes using AWS services and Docker
Wasabi Technologies
Senior Machine Learning Engineer for AI/ML product Wasabi AiR, driving advancements in AI, computer vision, and NLP, with a focus on scalability and reliability.
Coursera
Join Coursera's Machine Learning team and contribute to creating personalized learning experiences through AI-powered technologies.
Hightouch
Build an intelligence layer using machine learning to help companies personalize messages, automate experiments, predict customer behavior, and optimize marketing spend. Collaborate on various ML projects and infrastructure at Hightouch.
hims & hers
Lead Machine Learning Engineer with 10+ years of experience in Engineering and/or Machine Learning
Superside
Lead Machine Learning Engineer for scalable data pipelines and AI integration at Superside
MyFitnessPal
Lead the technical implementation of AI products at MyFitnessPal, mentor teams, and design scalable ML systems to enhance user engagement and improve product quality using recommendation systems, search features, NLP, LLMs, and deep learning.
Twilio
As a Principal Machine Learning Engineer at Twilio, you will leverage AI and machine learning to drive innovation and efficiency across our services. Collaborate with cross-functional teams to develop cutting-edge solutions using Python, SQL, R, AWS, and other tools.
Coursera
Join Coursera's Discovery Science ML team to develop personalized search and recommender systems
Spotify
ML Engineer at Spotify: Develop AI solutions for music & podcast recs, collaborate with cross-functional teams, and drive optimization.
Gitlab
Design and implement technical evaluators for LLM assessment, contribute to evaluation infrastructure consolidation efforts, build scalable evaluation pipelines and frameworks, develop and manage datasets and evaluation metrics, collaborate with feature teams to integrate validation solutions, optimize performance across ML evaluation systems, support improvements to GitLab’s AI-powered tools through validation, and ensure all solutions align with GitLab’s infrastructure and security protocols.
Loka, Inc
Machine Learning Team Lead for scalable ML models, data exploration, model development, deployment, and scaling in production environments.
reserv
Senior Machine Learning Engineer at Reserv, developing AI models and machine learning solutions for insurtech company
CAST AI
Design and deploy sophisticated data models at CAST AI, leveraging cloud-native technologies and contributing to machine learning operations. Collaborate with cross-functional teams and stay ahead of industry trends while enjoying benefits like flexible work hours and company equity.
Apollo.io
Build and productionize Machine Learning models for Apollo products like Search and Recommendations. Leverage data to predict user behaviors and optimize their experience. Improve ML stack and maintain scalable data pipelines.
Kueski
Design and build scalable pipelines for data preparation and automate machine learning models
Invisible Technologies
Senior Machine Learning Engineer at Invisible Technologies: Build robust backend systems, optimize cloud infrastructure, and collaborate on advanced ML technologies.
Welocalize
We are seeking a Machine Learning Engineer – Generative AI & NLP Specialist to design, develop, and implement cutting-edge AI-driven systems. The ideal candidate will have extensive experience in end-to-end machine learning lifecycles, large language models, and the ability to create scalable, secure, and efficient AI solutions. This role will focus on enhancing translation systems using advanced NLP techniques and Generative AI (GenAI). The successful candidate will work with a talented team to collaborate on impactful projects, contribute to groundbreaking research, and shape the future of AI. With flexible remote work options, $4,000/year travel stipends, and equity in a fast-growing company, this is an exciting opportunity for a seasoned founder or early tinkerer with AI. The role involves designing and optimizing translation systems, taking ownership of the machine learning pipeline, and ensuring compliance with security standards.
