Top Machine Learning Jobs in Buffalo, NY

Develop and deploy AI solutions from problem framing through production. Responsibilities include identifying AI opportunities, leading MVP development, building data pipelines, experimenting with generative LLMs, fine-tuning NLP models, and delivering scalable features. The intern will collaborate cross-functionally, communicate technical impact to business audiences, and work with cloud platforms such as AWS or Google Cloud.

Build and operate high-throughput distributed systems for Yahoo Mail’s anti-spam protection and message delivery infrastructure. Responsibilities include writing, testing, deploying, debugging, and performance-tuning backend services; designing reliable components; using AI-assisted development tools; reviewing code; and making independent technical decisions. The role requires expertise in Java, Go, or C++, cloud platforms, containers, Kubernetes, Linux, networking, machine learning, and scalable distributed systems.

Lead Client Legal Services analytics strategy and team development. Own Power BI reporting products, Microsoft Fabric data solutions, governance, predictive modeling, responsible AI adoption, ROI measurement, and executive insights. Partner cross-functionally to improve legal operations, litigation outcomes, staffing, capacity, cost management, quality, and workflow optimization while building scalable analytics capabilities and institutional knowledge.

Support partner sales opportunities through discovery calls, product demonstrations, technical responses, solution scoping, project planning, proof-of-concept coordination, RFI/RFP responses, and security questionnaires. Collaborate with sales, professional services, product, engineering, and delivery teams while building partner relationships and developing expertise in fraud prevention and financial crime solutions.

Lead end-to-end product design for an AI-powered women’s health platform. Responsibilities include defining UX vision, creating interaction models, information architecture, wireframes, high-fidelity interfaces, prototypes, design systems, and user research. Collaborate with product, engineering, ML, marketing, and leadership teams to translate business needs into customer-focused solutions, manage design initiatives, and measure product success through user feedback and metrics.

Perform Tier 2 cybersecurity incident analysis, threat detection, network traffic analysis, and incident response. Investigate alerts across cloud, endpoint, email, and security monitoring platforms; recommend remediation and detection improvements; configure Splunk and FirePower; manage security tools; and apply AI/ML, automation, SOAR, and threat intelligence to improve SOC effectiveness. The role supports USPS, requires overnight weekday hours, and involves obtaining Public Trust clearance.

Lead Nabla’s marketing organization and product marketing strategy across healthcare segments, buyer types, and direct and partner channels. Own positioning, messaging, launches, competitive intelligence, sales enablement, demand strategy, content prioritization, marketing operations, pipeline attribution, and team development. Manage a 6–8-person team spanning product marketing, growth content, design, and marketing operations while guiding resourcing and hiring decisions.

Build and operate high-scale internationalization infrastructure, including translation workflows, APIs, UIs, libraries, and platform tooling. Improve legacy systems through migrations while enhancing reliability, observability, latency, security, and cost efficiency. Prototype and productionize machine-learning and large-language-model capabilities, collaborate across engineering and business teams, and deliver measurable improvements in quality, adoption, developer productivity, and operational efficiency.

Leads the transformation of Sophos’s pricing operations by building a centralized function, establishing pricing governance and review cadences, developing AI-assisted competitive and discount analysis capabilities, and aligning pricing across SecOps and Network Security. The role provides executive market visibility, defines performance metrics, supports organizational change, and builds a high-performing team serving sales, finance, and customer-facing stakeholders.

The Tarbell Fellowship combines three months of remote training in AI and journalism fundamentals with a nine-month newsroom placement as an artificial intelligence reporter. Fellows write and investigate AI-related topics, build journalism skills, complete coursework and assignments, and attend a weeklong in-person summit. The program is full-time and intended for candidates with journalism or AI expertise, strong writing ability, persistence, curiosity, and open-mindedness. Senior fellowships are available to candidates with at least seven years of experience and exceptional prior work.

Own the strategy, roadmap, and investment priorities for foundational agricultural data products, including pipelines, data models, APIs, and shared services. Partner with engineering, architecture, data science, and product teams to deliver scalable, governed, high-quality data capabilities. Prioritize initiatives based on customer and commercial value, define success metrics, resolve cross-team tradeoffs, and expand data support for analytics, predictive modeling, machine learning, and AI applications.

Lead end-to-end LLM inference performance across serving systems, models, GPU hardware, and workloads. Define rigorous benchmarks, diagnose bottlenecks from scheduling through kernels and interconnects, optimize single- and multi-node deployments, and deliver production-ready runtimes and configurations. Collaborate with product and infrastructure teams, evaluate inference technologies, and implement runtime fixes. The role requires strong Python engineering, production experience with serving engines such as vLLM or SGLang, GPU profiling, and knowledge of modern inference optimization techniques.

Build and deploy production machine learning systems that optimize Samsara’s global hardware supply chain. Responsibilities include demand, inventory, lead-time, spend, and supplier-risk forecasting; anomaly detection; feature engineering and ETL; real-time inference; MLOps; data infrastructure improvements; governance; and model monitoring. The role defines the AI transformation roadmap, partners with executive and cross-functional stakeholders, mentors scientists, and drives adoption of AI-enabled operational workflows.

Lead client engagements from data onboarding through production, plan studies that demonstrate business value, and build automated machine learning workflows using Python, scikit-learn, pandas, and Spark. Translate client business questions into data solutions, manage stakeholder relationships, evaluate model performance, and inform product planning. Requires healthcare or life sciences data experience and end-to-end delivery of sophisticated data or machine learning solutions.

Lead UX design initiatives across a healthcare product suite, solving complex user and business problems through research, prototyping, interaction and visual design. Mentor designers, influence cross-functional teams, contribute to the design system, and establish scalable design standards. Collaborate with engineering, product, leadership, and data science teams to integrate ML features and deliver intuitive, consumer-quality healthcare experiences.

Lead UX design initiatives across a healthcare product suite, solving complex problems through prototyping, user research, and strategic design. Collaborate with engineering, product, leadership, and data science teams to create consumer-quality experiences, integrate ML features, and evolve scalable design systems. Mentor designers, resolve stakeholder feedback, establish design standards, and drive innovation across large-scale projects.

Lead atmospheric research for a rainfall enhancement startup, directing meteorological science, WRF modeling, data assimilation, deployment evaluation, and operational forecasting. Integrate radar, satellite, sounding, surface, and field-sensor data; develop cloud and HPC modeling workflows; assess AI weather models; and communicate uncertainty. Recruit and lead scientific and engineering teams while building partnerships with universities and research institutions. Frequent travel is required.

Leads a clinical support team delivering patient engagement and medication adherence programs. Responsibilities include developing intervention strategies, managing productivity and timelines, ensuring quality standards, representing clinical care in customer meetings, hiring and training staff, conducting performance reviews, addressing patient and provider questions, and complying with healthcare regulations.

Leads Yahoo’s centralized CRM organization and owns the performance, strategy, governance, operations, innovation, and roadmap for email, push, SMS, newsletters, and other messaging channels. Oversees engagement, retention, revenue, deliverability, personalization, experimentation, quality, compliance, budgets, vendors, and cross-functional partnerships with Product, Engineering, Analytics, Legal, and Marketing. Develops senior leaders and scales AI-enabled CRM capabilities across Yahoo’s global consumer products.

Design, build, evaluate, and productionize machine learning and LLM-based agentic systems for healthcare products. Own projects end-to-end, including problem framing, dataset development, modeling, evaluation, deployment, monitoring, and safety guardrails. Build ML infrastructure, data pipelines, inference systems, and evaluation frameworks. Collaborate with clinicians, product managers, and engineers, while setting technical direction and mentoring team members.

Lead the design and development of Azure Compute Fleet capabilities that orchestrate Virtual Machine Scale Sets across regions. Build distributed control-plane services, APIs, and workflows for capacity placement, scaling, failover, and lifecycle management. Collaborate across Azure engineering teams, drive AI-enabled engineering improvements, participate in on-call operations, and improve reliability, observability, performance, and recovery for hyperscale cloud services.

Lead the engineering organization for BlueCat’s Network Observability product line. Own technical strategy, architecture, roadmap, delivery, and operational excellence for data-intensive network monitoring platforms spanning SaaS and on-premise deployments. Build AI-driven observability capabilities, modernize legacy systems, establish engineering standards, and develop distributed teams. Partner with product, executive leadership, customers, sales, and support to achieve business goals and resolve strategic technical issues.

Lead a team of bookkeeping professionals, manage client engagements and deadlines, build scalable bookkeeping processes, support client interactions, collaborate with engineering and product teams on accounting automation, and coordinate transitions to tax services. The role requires substantial client accounting services experience, team-building and process-development expertise, and close collaboration with tax advisors. CPA certification and startup experience are preferred.

Applied Data Scientist focused on incrementality, causal inference, experimentation, Marketing Mix Modeling, and predictive products. The role partners directly with customers to interpret data, diagnose measurement issues, explain statistical results, and provide actionable recommendations. Responsibilities include building diagnostic tools, analyzing model and experiment outcomes, improving methodologies and production capabilities, and collaborating with Product, Engineering, Media Strategy, Customer Success, and senior data scientists.

Leads the strategy, development, deployment, and performance of Stitch Fix’s recommendation, ranking, search, discovery, and personalization systems. Manages Data Scientists and Machine Learning Engineers, shapes cross-functional product roadmaps, drives offline evaluation and online A/B testing, and oversees the full production ML lifecycle. Advances generative AI and LLM-based evaluation while connecting model quality to client engagement, sales, revenue, margin, and satisfaction.