As an AI/Machine Learning Engineer, you will lead the development and deployment of advanced machine learning models and AI solutions, collaborating with cross-functional teams to drive innovation and deliver impactful AI-driven products for federal programs.

As a senior AI/ML engineer, you will hold a crucial position within our dynamic team, actively contributing to thrilling projects that reshape data analytics for our clients, providing them with a competitive advantage. You will collaborate with product managers, data scientists, and software engineers to identify AI/ML opportunities and develop innovative solutions.

Conduct research and development in neuro-symbolic computing and intelligence with a focus on mathematical foundations of safe, robust, responsible, and ethical AI. Actively participate in existing and new projects on neuro-symbolic computing and intelligence for government and commercial clients. Co-develop research ideas and lead the experimental evaluation of these ideas.

We are seeking talented Research Scientists to join our team, focused on advancing the capabilities of our AI-driven social platform; you will develop advanced models for video and audio generation tailored for real-world applications, with a focus on real-time and offline human-centric video generation.

We are seeking an experienced Data Scientist III to manage the entire data science lifecycle, including data acquisition, preparation, model development, deployment, and monitoring; you will apply advanced techniques in Python programming, machine learning, deep learning, and generative AI to address complex challenges and develop high-impact solutions.

Join Wellhub's CARE team in Brazil as a Senior Data Scientist and contribute to groundbreaking projects in Generative AI, fine-tuning of LLMs, and evaluation of Agentic systems to shape the future of AI-powered wellness solutions by developing cutting-edge Agentic AI that enhance and personalize the wellness journey for millions of Wellhub subscribers, collaborating with a multidisciplinary team to create innovative AI applications.

Design machine learning systems, research and implement appropriate ML algorithms, applications and tools, select appropriate datasets and data representation methods, and perform statistical analysis and fine-tuning using test results.

Develop and improve machine learning models for trade classification, entity classification, and entity resolution. Implement data preprocessing pipelines and feature engineering techniques. Evaluate model performance using appropriate metrics and validation techniques. Collaborate with data engineers to integrate ML models into production systems.

As a Staff Machine Learning Engineer specializing in Search, you will design, build, and implement NLP-based systems that have a direct impact on the user experience. You'll serve as a “tech lead of tech leads”, influencing the direction of multiple ML projects within this domain.

You will lead the research and development of Flock’s multitask deep learning models, decoding information to search against using several deep learning multitask models with a shared backbone and multiple task heads for the computer vision products.