G-P
Design and deploy AI solutions using advanced techniques in machine learning and natural language processing. Collaborate with teams to address complex business challenges and enhance user satisfaction through robust engineering practices.
Workiva
Lead Workiva's organic social strategy to build audience relationships, create high-value content, and amplify brand value through cross-functional collaboration and data-driven insights.
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
Grow Therapy
Lead the development of billing systems at Grow Therapy, focusing on revenue cycles and provider payments. Use Python and AWS to build scalable solutions, collaborate with a team, and integrate with insurance partners.
Grow Therapy
Support providers in mental health care through outreach, quality improvement, and documentation review at Grow Therapy as a Sr. Clinical Excellence Specialist (PMHNP).
Awin Global
Data Engineer (AI/NLP) at Awin: Build data pipelines, collaborate with teams, and drive business decisions with AI-powered insights.
Awin Global
Data Engineer (AI/NLP) at Awin: Build and maintain data ingestion pipelines, collaborate with data scientists, and ensure data quality for analysis and reporting.
Awin Global
Data Engineer (AI/NLP) at Awin: Build data pipelines, ensure data quality, and collaborate with data scientists.
Awin Global
Data Engineer (AI/NLP) at Awin: Build and maintain data pipelines, collaborate with data scientists, and contribute to project planning.
Awin Global
Data Engineer (AI/NLP) at Awin: Build data pipelines, collaborate with teams, and drive business decisions with AI-powered insights.
Grafana Labs
Design and build critical systems for Grafana's user experience. Work on projects like Query Library and Accessibility improvements using React and GoLang in a collaborative, remote-friendly team focused on innovation and growth.
Telnyx
Senior Software Engineer for Mobile Core at Telnyx
Testlio
Senior Generative AI Engineer at Testlio: lead innovative solutions, collaborate globally, and drive business outcomes.
Outliant
Lead media buying strategies, optimize digital campaigns, and collaborate with cross-functional teams at Outliant, a fully-remote company offering great benefits including unlimited PTO and mental health support.
Binance
Senior Java Engineer for KYC Tech at Binance, building high-throughput distributed applications with expertise in Java, Spring Framework, MySQL, and NoSQL databases.
Dropbox
Develop and enhance Dropbox's product suite, collaborate with cross-functional teams, implement AI-driven features, mentor junior engineers, and ensure service operation while focusing on continuous learning and professional growth.
Goodnotes
Join Goodnotes' cross-functional engineering team & develop cutting-edge AI features for learning & note-taking platforms
Consensys
Fullstack Engineer for MetaMask Portfolio product with 3+ years of experience in Ethereum ecosystem, web development, and back-end development.
G-P
As a Senior AI Engineer, you will design, develop, and deploy AI solutions to address complex business challenges. This role requires advanced expertise in artificial intelligence, including machine learning and natural language processing, with the ability to implement these technologies in production-grade systems. Key responsibilities include developing innovative, scalable AI solutions for real business problems; managing complex datasets, designing efficient data pipelines, training robust models; owning end-to-end projects from analysis to deployment; researching new techniques in NLP and ML; collaborating with product managers and stakeholders; writing technical documentation; staying updated on the latest developments; exploring new technologies; developing high-quality machine learning services; and prioritizing robust engineering practices. Required skills include a Master's degree, deep understanding of ML and NLP, statistical modeling, data curation, model training, experience with Python, Docker, AWS, and strong communication skills.
As a Senior AI Engineer, you will design, develop, and deploy AI solutions that address complex business challenges. This role requires advanced expertise in artificial intelligence, including machine learning and natural language processing, and the ability to implement these technologies in production-grade systems.
Key Responsibilities:
Develop innovative, scalable AI solutions for real business problems. Drive the full lifecycle of projects from conception to deployment, ensuring alignment with business objectives.
Manage complex data sets, design efficient data processing pipelines, and train robust models. Expect to spend approximately 70% of your time on data and ML engineering tasks related to developing AI systems.
Own highly open-ended projects end-to-end, from the analysis of business requirements to the deployment of solutions. Dedicate about 30% of your time to researching new techniques in NLP and ML that could benefit the business.
Work closely with other AI engineers, product managers, and stakeholders to ensure that AI solutions meet business needs and enhance user satisfaction.
Write clear, concise, and comprehensive technical documentation for all projects and systems developed.
Stay updated on the latest developments in the field. Explore and prototype new technologies and approaches to address specific challenges faced by the business.
Develop and maintain high-quality machine learning services. Prioritize robust engineering practices and user-centric development.
Required Skills and Qualifications:
Master’s degree in Computer Science, Machine Learning, Statistics, Engineering, Mathematics, or a related field
Deep understanding and practical experience in machine learning and natural language processing, especially with deep learning architectures
Strong foundational knowledge in statistical modeling, probability, and linear algebra
Extensive practical experience with curating datasets, training models, analyzing post-deployment data, and developing robust metrics to ensure model reliability
Experience developing and maintaining machine learning services for real-world applications at scale
Strong Python programming skills and ability to write maintainable, production-ready code
Proficiency with Container Orchestration services such as Docker
Proficiency with AWS, including Serverless
Proven track record in driving AI projects with strong technical leadership.
Excellent communication skills when engaging with both technical and non-technical stakeholders
Proactive attitude with a continuous improvement mindset, seeking help and providing feedback when necessary
Preferred Qualifications:
Experience with LLMs for non conversational use cases
Experience with natural language processing for legal applications
Proficiency with Terraform
#LI-AK1
