Top Remote Machine Learning Jobs in Buffalo, NY

Research, develop, and productize Multilingual Live Caption and Translation models while collaborating with a cross-functional team to enhance localization.

Lead a data science team to drive consumer acquisition strategies and improve Netflix's signup processes through analytics, experimentation, and machine learning.

Develop and enhance ML infrastructure for LLMs, partnering with multidisciplinary teams to deliver scalable, robust systems impacting user experiences.

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

As a Forward Deployed Engineer, you will develop solutions, embed with customers to identify their real needs, manage deployments, and integrate product improvements.

The AI Transformation Lead will drive AI delivery capabilities, transforming internal operations and client programs, while embedding AI practices and managing teams to ensure successful implementation and measurable outcomes.

The Head of Fraud will establish risk functions, manage KYC, monitor fraud exposure, optimize transaction models, and collaborate across teams.

The Sales Development Representative will identify and research potential clients, execute outbound prospecting strategies, qualify inbound leads, and collaborate with Sales and Marketing teams to enhance lead generation.

The Business Strategy Director will explore new business opportunities, lead transformational projects, and enhance organizational effectiveness while collaborating with senior leadership.

As a Senior Account Executive, you will manage a portfolio of accounts, partner with HR leaders, identify new business, and guide customer satisfaction to enhance account growth. You will develop strategic enterprise-wide strategies and educate customers on TalentNeuron's value proposition.

As an Associate Engineer in Data Science, you will leverage data analysis and machine learning to solve complex problems and develop inspiring digital products.

Design, prototype, and deploy production-ready AI products using ML and generative AI. Lead cross-functional teams, collaborate with stakeholders to solve workflow problems, build scalable prototypes and proofs-of-concept, and apply latest ML/GenAI research techniques.

Lead the design and implementation of AI-driven fraud prevention strategies, balancing user experience with security to protect user data and prevent unauthorized access.

Build identity verification and fraud-detection systems and correlation engines to analyze candidate signals (IPs, emails, phones, resume metadata). Create high-availability ingestion pipelines, real-time guardrails, and prototype 0->1 solutions. Collaborate with security, platform, and data teams, write technical designs, and participate in the SDLC.

The GTM Enablement Lead at UVeye develops onboarding and certification programs for customer-facing teams, ensuring effective training and operational readiness to enhance revenue growth.

As a Solution Architect for GSIs, you'll manage technical relationships, design solutions, and collaborate with partners to enhance Cyera's security offerings.

The Business Development Director will lead strategic engagement with Oracle Cloud Infrastructure, focusing on alliance strategies, go-to-market execution, and revenue growth through innovative cloud solutions.

The Business Development Director will lead strategic engagement with Google Cloud, focusing on partnership growth, go-to-market strategies, and revenue generation through cloud solutions.

Lead the development of AI solutions for U.S. Army operations, including advanced NLP systems and model deployment on cloud platforms, while collaborating with cross-functional teams and providing SME guidance.

The Sr. Director Product, Innovation will lead AI product strategies from concept to validation, collaborating across teams to integrate new capabilities into Lone Wolf's platform.

The Senior Industry Marketing Manager will drive marketing strategy for AI/ML, develop initiatives, create content, and collaborate with sales teams.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

The role involves building and optimizing a machine learning and simulation platform, supporting MLOps, model deployment, and infrastructure modernization, while mentoring engineers.

As a Senior Software Engineer, you will manage customer deployments of AI integration, making architectural decisions and ensuring effective solutions.