Top Machine Learning Jobs in Buffalo, NY

The Staff Technical Program Manager will manage robotics projects, oversee cross-functional teams, ensure timely delivery, and maintain effective communication across stakeholders.

Lead full-funnel marketing analytics and a small AI-augmented team to measure and optimize paid media and lifecycle journeys. Own test-and-learn experiments, attribution and incrementality frameworks (MTA, MMM), vendor evaluation, and partnership with ML to improve CAC, LTV, and channel efficiency. Translate results into actionable growth recommendations.

Own and scale delivery of complex AI data programs (LLM/ML products), ensuring scope, quality, timeline, and margin targets. Translate ambiguous problems into technical workstreams, establish governance, drive solution reviews, embed responsible AI practices, manage vendors, and lead cross-functional teams while partnering with BD and executive stakeholders.

Lead and develop a team of five East Coast Enterprise Sales Leaders to drive new logo acquisition and account expansion. Build sales plans, manage pipeline from lead generation through close, recruit and coach leaders, and contribute to GTM strategy while reporting to the VP of Enterprise Sales. Remote-first role with occasional off-hours work.

Drive technical wins for enterprise financial institutions by scoping solutions, leading discovery (MEDDPICC), tailoring demos, building business cases, owning RFI/RFPs and POCs, and coordinating product/engineering to validate feasibility for fraud and financial crime prevention.

Lead and manage actuarial projects for healthcare clients, provide technical and strategic actuarial advice, build financial models, mentor junior actuaries, and support practice development and client relationships to drive financial decision-making.

Manage end-to-end CRM lifecycle: strategy, audience segmentation, campaign build/deployment (email, SMS, push), QA, A/B and multivariate testing, lifecycle optimization, analytics, and cross-functional collaboration to increase fan engagement and lifetime value.

Lead government relations in the Western U.S. to drive adoption of AI-powered school bus safety solutions. Build relationships with municipal and state officials, school leaders, and law enforcement; advocate for legislative and regulatory changes; run grassroots campaigns; monitor policy developments; represent the company at hearings and events; and collaborate with Sales, Marketing, and Legal.

Lead product ownership for Advisor Experience, owning roadmap from discovery to delivery. Build integrations and AI features (Aspen AI, client portal), deliver advisor capacity and transition tools, work with engineering/design/data and external partners, and drive Client Excellence KPIs (Net Revenue Retention, NPS, advisor retention, transition success).

Lead design, development, and production deployment of ML models and GenAI/LLM solutions to optimize clinical trial workflows. Build scalable pipelines, monitoring, and CI/CD for robust production use. Collaborate cross-functionally, mentor junior engineers, and communicate technical results to technical and non-technical stakeholders.

Lead and mentor engineering teams while owning platform architecture (React, Node/Express, Postgres, AWS). Drive TypeScript migration, design ETL and AI/LLM integration frameworks, ensure reliability and observability, manage delivery, incidents, and hiring, and define technical strategy for production ML/AI systems.

The role involves product management of AI tools, collaborating with research, engineering, and design teams to develop and enhance products, focusing on user needs and market value.

Build and productionize LLM-powered tools, RAG systems, and agentic workflows. Deploy and operate AI infrastructure on Kubernetes, manage model serving and vector stores, integrate identity and access controls, automate CI/CD and data pipelines, and establish evaluation and observability for deployed services in a defense-oriented environment.

Lead development and refinement of machine learning pricing models (especially reinforcement learning) for Airbnb hosts. Collaborate with data scientists, product, and engineers to design, test, integrate, and monitor models, analyze performance, and prioritize projects to improve host outcomes.

The role involves leading strategic AI partnerships, driving revenue growth, and managing cross-functional teams while advocating for AI initiatives internally and externally.

Design, build, and deploy novel sensor hardware and data acquisition systems; curate geoscientific datasets; develop statistical, physics-based, and ML models (2D/3D) to predict mineralization; create visualizations and evaluation tools; collaborate with geoscientists, engineers, and vendors; deploy sensors in the field and integrate results to guide exploration programs.

As a Senior Staff Machine Learning Engineer, you will drive AI product development, collaborate with cross-functional teams, and enhance ML models at scale.

Lead end-to-end supply chain transformation engagements for commercial and utility clients. Advise executives, design future-state supply chain architectures, oversee implementation across planning, procurement, logistics, and analytics, build financial value cases, and manage multidisciplinary teams to deliver measurable operational and financial results.

Lead a 4-6 engineer team owning the internal data warehouse and end-to-end ML Ops lifecycle: experimentation, training pipelines, deployment, and monitoring. Provide technical leadership, collaborate with cross-functional partners, define platform standards, and coach engineers to deliver reliable, scalable data and ML infrastructure that powers product analytics and identification features.

Lead perception vision, strategy, and roadmap for AV perception. Drive advances in detection, classification, tracking, fusion, and prediction; design sensor suites; define KPIs; hire and manage engineering teams; coordinate cross-functional deployment and issue resolution to ensure robust commercial autonomy performance.

Build and prototype supervised ML models to predict ad campaign delivery outcomes (reach, frequency, contention). Own feature engineering, evaluation frameworks, interpretability, and partner with ML engineers to deploy and monitor models at scale. Collaborate across product, engineering, and sales to drive adoption and measure lift versus simulation baselines.

Contractor role to design, harden and productionize ML and LLM systems for enterprise clients: build data/training pipelines, MLOps (deployment, CI/CD, monitoring, versioning), RAG and retrieval systems, benchmarking and cost control, short audits, and client-facing advisory work. Work as part of Janea teams on time-bound engagements.

Lead applied AI research to design and prototype Transformer-based Payment Foundation Models and generative AI solutions for fintech use cases. Drive self-supervised pre-training, fine-tuning, model optimization, benchmarking, and evaluation; collaborate cross-functionally to transition prototypes to production and ensure responsible, secure AI deployment while mentoring engineering teams.

Lead architecture and implementation of large-scale generative, agentic, recommendation, and personalization ML systems. Build end-to-end ML platforms (data pipelines, training, deployment, monitoring, governance), define technical strategy and reusable patterns, and partner with Product, Engineering, Data, and Design to deliver production AI experiences for millions of customers.

Lead the design and delivery of a production-grade localization ML stack for autonomous vehicles: architect models for landmark-based localization across sensors, own data and evaluation pipelines, drive feature development to deployment, define failure modes and safety coverage, and mentor engineers while integrating cutting-edge multimodal and foundation-model techniques into robust, real-time localization systems.