Top Senior Machine Learning Jobs in Buffalo, NY

As a Principal Data Scientist, you'll design and deploy cutting-edge machine learning models to drive financial success for customers and guide technical teams.

As a Senior Solution Consultant, you'll advise clients on identity verification solutions, lead technical workshops, and collaborate with sales and engineering teams to ensure client satisfaction and product alignment.

The Senior Manager of Credit Risk Analytics oversees credit strategies and risk management for Personal Loan portfolios, ensuring compliance, optimizing performance using ML, and collaborating cross-functionally to enhance business growth and minimize credit losses.

The Director of Adversary Engineering will define strategies for log management and security automation, lead the development of automated workflows, and optimize security systems using AI/ML techniques.

Lead a team to advance performance marketing through machine learning and data-driven strategies, optimizing budget allocation and measuring impact.

The VP of Product will lead the strategic vision and execution of the Sensei DPMS, managing a $100M product portfolio while driving digital transformation to cloud environments.

The Director, Digital Product Manager will drive product strategy, manage the roadmap for integrated CRO solutions, and enhance clinical research through innovative AI solutions.

The role involves delivering technical solutions, integrating AI/ML models, developing software, and mentoring junior engineers while ensuring customer satisfaction through engagement and solution design.

As a Senior Research Scientist at Pinecone, you will evaluate and implement state-of-the-art AI and search techniques, improve products, and publish findings.

The Lead Data Scientist will architect AI solutions for the energy sector, develop ML algorithms, and collaborate with leadership to shape product strategy.

Lead complex projects leveraging AI and machine learning to deliver innovative data-driven solutions, requiring extensive experience and technical expertise.

Lead efforts in applying reinforcement learning techniques to enhance model quality and controllability for creative applications. Mentor researchers and contribute to human-in-the-loop systems.

Lead the Mid-Market Sales team to connect technical organizations with AI and data science tools, driving adoption and growth through value-based selling and strong partnerships with engineering teams.

As a Product Manager for Risk, you'll design fraud prevention tools, manage cross-functional teams, and improve fraud detection methods.

As a Staff Software Engineer, you will lead engineering teams, collaborate cross-functionally, drive technical initiatives, and contribute to code while ensuring system resiliency.

The AI Engineer will design, implement, and prototype GenAI and ML solutions to enhance operational intelligence and efficiency in investment services.

The Senior Engineering Manager at Planet leads the engineering team, focusing on delivering products for Defense Intelligence. Responsibilities include mentoring engineers, refining processes, and collaborating across teams for effective deployment of technology.

The VP of Marketing will scale marketing functions, drive demand generation, build teams, establish marketing strategies, and coordinate with sales to enhance pipeline and revenue growth.

Lead product development for credit card decisioning and customer journeys, translating credit policy and data into real-time actions. Partner with Engineering, Data, and Credit to operationalize underwriting and payment models, run experiments, use SQL for analytics, and craft roadmaps that balance business outcomes with customer well-being.

Lead the development of intelligent decision engines modeling customer intent in real-time using advanced data science techniques such as causal inference and machine learning. Collaborate with cross-functional teams to optimize systems for search, fulfillment, and customer experience.

Lead technical engagement across pre-sales, deployment, and post-sales for on-premises quantum systems. Drive customer success, inform product development, support sales with deep HPC/AI/optimization expertise, present at industry events, and translate customer needs into deployment strategies and R&D feedback.

The Senior Backend Data Engineer will extend data ingestion and processing pipelines, build APIs and backend services, and provide technical leadership.

Lead AI practice research and thought leadership to help enterprises scale AI for business value. Produce insights, advise executives, present at events, support sales, and collaborate on market analysis and content.

Lead Yahoo's Data Activation product area: define vision and strategy, partner with Data Science and Engineering, drive cross-vertical data activation initiatives, deliver measurable business impact, and mentor/manage product teams to execute on audience, personalization, and targeting use cases.

Lead content programming through analysis, classification, and editorial judgment. Monitor performance, synthesize query analysis, propose product improvements, curate content, and collaborate with Engineering/Data Science on LLM/ML/NLP initiatives.