Lead Applied AI Site Reliability Engineer II - PxE ERM Deloitte Touche Tohmatsu LtdLead Applied AI Site Reliability Engineer II - PxE ERMMorristown, NJ$113,100–$232,300 / year3+ years of experience in site reliability or production engineering for large-scale systems-defining and owning SLIs, SLOs, and SLAs; error budgets; incident command and on-call; building and operating production observability (metrics, tracing, logging-e.g., OpenTelemetry, Prometheus, Grafana, Datadog, Dynatrace, Amazon CloudWatch, Azure Monitor, Google Cloud Operations, SolarWinds, Splunk); environment integrity and drift prevention across pre-production and production; and segregation-of-duties controls (least-privilege/RBAC, deploy approvals, secrets management) in partnership with security and risk. Advanced Technical Proficiency: Possess deep expertise in site reliability and modern production engineering-cloud platform ownership, observability (metrics, tracing, logging), performance and capacity engineering, chaos engineering, and cloud/AI cost engineering-together with applied AI fluency to operate AI and agentic workloads reliably, including AI and Agentic SSDLC, delivering production operations with full automation from discovery to production to operations and all quality checks through the SSDLC lifecycle.
Applied AI Engineer II - Encore Program Deloitte Touche Tohmatsu LtdApplied AI Engineer II - Encore ProgramMorristown, NJ$102,500–$188,900 / yearYou will leverage your engineering craftsmanship across full-stack software engineering and modern frameworks-together with applied AI fluency that lets you build GenAI and agentic capabilities directly into the products you deliver-consistently demonstrating your strong track record in delivering high-quality, outcome-focused solutions. 2+ years of experience with cloud-native engineering, using FaaS, PaaS, or micro-services on any of the cloud hyperscalers such as Azure, AWS, or GCP, including their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI, plus application-level infrastructure-as-code and cost-aware engineering (FinOps accountability).
Lead Applied AI Site Reliability Engineer II - PxE A&A Deloitte Touche Tohmatsu LtdLead Applied AI Site Reliability Engineer II - PxE A&ANew York, NY$113,100–$232,300 / year3+ years of experience in site reliability or production engineering for large-scale systems-defining and owning SLIs, SLOs, and SLAs; error budgets; incident command and on-call; building and operating production observability (metrics, tracing, logging-e.g., OpenTelemetry, Prometheus, Grafana, Datadog, Dynatrace, Amazon CloudWatch, Azure Monitor, Google Cloud Operations, SolarWinds, Splunk); environment integrity and drift prevention across pre-production and production; and segregation-of-duties controls (least-privilege/RBAC, deploy approvals, secrets management) in partnership with security and risk. Advanced Technical Proficiency: Possess deep expertise in site reliability and modern production engineering-cloud platform ownership, observability (metrics, tracing, logging), performance and capacity engineering, chaos engineering, and cloud/AI cost engineering-together with applied AI fluency to operate AI and agentic workloads reliably, including AI and Agentic SSDLC, delivering production operations with full automation from discovery to production to operations and all quality checks through the SSDLC lifecycle.
Applied AI Site Reliability Engineer III - PxE Talent Deloitte Touche Tohmatsu LtdApplied AI Site Reliability Engineer III - PxE TalentNew York, NY$102,500–$210,600 / year3+ years of experience in site reliability or production engineering for large-scale systems-defining and owning SLIs, SLOs, and SLAs; error budgets; incident command and on-call; building and operating production observability (metrics, tracing, logging-e.g., OpenTelemetry, Prometheus, Grafana, Datadog, Dynatrace, Amazon CloudWatch, Azure Monitor, Google Cloud Operations, SolarWinds, Splunk); environment integrity and drift prevention across pre-production and production; and segregation-of-duties controls (least-privilege/RBAC, deploy approvals, secrets management) in partnership with security and risk. Advanced Technical Proficiency: Possess expertise in site reliability and modern production engineering-cloud platform ownership, observability (metrics, tracing, logging), performance and capacity engineering, chaos engineering, and cloud/AI cost engineering-together with applied AI fluency to operate AI and agentic workloads reliably, including AI and Agentic SSDLC, delivering production operations with full automation from discovery to production to operations and all quality checks through the SSDLC lifecycle.
Senior Security Engineer, Identity & Access Management Valon Mortgage IncSenior Security Engineer, Identity & Access ManagementNY$180,000–$230,000 / yearIn this role, youll own the design, implementation, and operation of IAM systems for Valons enterprise identity stack that powers Valons workforce, and support security for customer-facing authentication and authorization capabilities embedded in ValonOS. As AI becomes central to how Valon builds and operates, our team is responsible for securing AI-powered systems and pipelines while also leveraging AI tools to optimize security and defense capabilities.
Principal Machine Learning Engineer, Content Engineering Paramount Skydance CorpPrincipal Machine Learning Engineer, Content EngineeringNew York, NY$234,000–$260,000 / yearResponsibilities: Lead the ShortForm Pod: Define the technical roadmap for automated clip generation and video insight, managing a high-performing pod of ML engineers. This team is in charge of a critical mission: the automated transformation of our massive long-form content library into "ShortForm" assets-high-impact clips, "gists," and social-ready highlights.
Principal Machine Learning Engineer Paramount Skydance CorpPrincipal Machine Learning EngineerNew York, NY$233,600–$350,400 / yearOrg-Level Quality Bar: You raise the technical bar across the Applied ML organization, anticipate systemic risks (data, modeling, feedback loops), and influence the broader personalization roadmap. Paramount+ features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including SHOWTIME.
Lead Machine Learning Engineer (IC) Capital One Financial CorpLead Machine Learning Engineer (IC)New York, NY$197,300–$225,100 / yearIn this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
Research Engineer, Machine Learning RL Velocity Anthropic PBCResearch Engineer, Machine Learning RL VelocityNew York City, NY$500,000–$850,000 / yearThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster.
Senior Lead AI Engineer, Gen AI Platform Capital One Financial CorpSenior Lead AI Engineer, Gen AI PlatformNew York, NY$209,000–$238,500 / yearBasic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
Applied AI Engineer - Enterprise Solutions Snorkel AIApplied AI Engineer - Enterprise SolutionsNew York City, NY (Hybrid); San Francisco$172,000–$300,000 / yearWhether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. You will also help define Snorkel’s Applied AI tooling by translating repeatable real-world challenges into reusable solution recipes, workflows, best practices, and platform-level capabilities that become part of Snorkel’s next generation of AI tooling.
Software Engineer, Research Data Platform Anthropic PBCSoftware Engineer, Research Data PlatformNew York City, NY$320,000–$405,000 / yearWe're looking for engineers who love working directly with users and who excel at building data products - the pipelines that move data out of training runs into queryable storage, and the APIs, libraries, and services researchers use to manage and explore it. This role sits closer to the research workflow than a typical data infrastructure position: you'll often embed with research teams, build ML-specific tooling alongside them, and leverage what our Data Infrastructure team has already built rather than reinventing it.
Staff + Senior Software Engineer, Inference Anthropic PBCStaff + Senior Software Engineer, InferenceNew York City, NY$320,000–$485,000 / yearThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Mainframe Systems Engineer StratAcuity Staffing Partners IncMainframe Systems EngineerCharlotte, NJ$65–$70 / hourIn terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts.
Principal Machine Learning Engineer Appgate IncPrincipal Machine Learning EngineerNew York, NY$220,000–$265,000 / yearThis is a hands-on technical leadership role, shaping our fraud prevention roadmap and ensuring the platform evolves to meet emerging threat patterns through automation, data intelligence, and generative AI-enhanced detection models. You will architect large-scale ML systems that detect and prevent fraud in real time combining deep machine learning expertise with scalable engineering and domain knowledge in financial systems.
NewSr. Lead Software Engineer JPMorgan Chase Bank, N.A.Sr. Lead Software EngineerNew York, NYFull timeLead Software Engineer at JPMorgan Chase within the Consumer and Communicate Banking - Data Technology Data Platform Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
Senior Lead Software Engineer - ML Engineer for Agent Platform JPMorgan Chase Bank, N.A.Senior Lead Software Engineer - ML Engineer for Agent PlatformJersey City, NJFull timeAs a Senior Lead Software Engineer - ML Engineer for Agent Platform at JPMorgan Chase within the Commercial and Investment Banking - Data Analytics Payments Team, you are a senior technical leader on the team that builds and runs NEO, the firm's agent runtime platform for Payments Technology. Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.
Machine Learning Engineer, Ads Optimization & Ads Marketplace Quality Reddit IncMachine Learning Engineer, Ads Optimization & Ads Marketplace QualityNY$185,800–$303,400 / yearAdditional expectations for strong bidding/auction candidates (especially IC4): Evidence of stronger math and optimization skills than a generic MLE, such as: Degree or equivalent background in a quantitative field (math, physics, quantitative finance, economics, operations research, or similar). You'll join a set of tight-knit engineers working on high-impact, internet-scale problems at the core of Reddit's revenue engine, collaborating closely with Product, Data Science, and Infra partners across Reddit Ads.
Tech Lead Manager, AI/ML Engineering (East Coast) NBCUniversal Media LLCTech Lead Manager, AI/ML Engineering (East Coast)New York, NY$245,000–$270,000 / yearWe produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. We are seeking an experienced Tech Lead Manager/Engineering Manager to grow out and lead a forward-deployed team of Machine learning engineers who will be building applications for a graphically intensive simulation platform.
AI Engineer ClinDCastAI EngineerWarren, AlabamaAs a result, there is a growing demand for a range of patient-centric services, including personalized care that is tailored to each individual's unique needs, health equity that ensures access to care for all, price transparency to make healthcare more affordable, streamlined prior authorizations for medications, the availability of therapeutic alternatives, health literacy to promote informed decision-making, reduced costs, and many other initiatives designed to improve the patient experience. Our suite of services is designed to cater to a broad range of needs of healthcare organizations, including healthcare IT innovation, electronic health record (EHR) implementation & optimizations, data conversion, regulatory and quality reporting, enterprise data analytics, FHIR interoperability strategy, payer-to-payer data exchange, and application programming interface (API) strategy.