Google Cloud Jobs

Anthropic

Our team builds the systems that enable every change to Anthropic's software to reach production safely and predictably. This includes managing pipelines, staged rollouts, health-gated promotion, rollback, runtime configuration, and feature flags across a large fleet of machines. You will own a significant part of this end-to-end process, from initial design to ongoing operation in production. If you are passionate about influencing the speed and safety of Anthropic's software releases, this role offers a unique opportunity.

$405k - $485k

Sift

As a Machine Learning Engineer at Sift, you will bridge the gap between data science and large-scale distributed systems. You will build end-to-end pipelines that extract signals, train custom models per merchant, and serve predictions at production scale with low latency. You will work on an automated machine learning ecosystem that dynamically recalibrates models based on streaming global telemetry data.

$170k - $240k

Perplexity AI

Perplexity is seeking a Member of Technical Staff to join their GPU Cluster Infrastructure team. This role will own the underlying GPU infrastructure that powers Perplexity's AI inference requests, which serve hundreds of millions of queries monthly. The goal is to abstract away the complexity of GPU provisioning, cluster configuration, and multi-cloud management into a unified, self-serve platform for both training and inference workloads. You will be responsible for the entire lifecycle of the GPU fleet, ensuring reliability, efficient capacity utilization, and seamless operation across different cloud providers.

$250k - $485k

Salesforce is seeking a Senior / Lead Member of Technical Staff to join their AI Research team. This role involves innovating at the frontier of AI, creating new solutions, and defining new product categories with significant impact. You will work closely with software engineers, product managers, and solution engineers to design, implement, and iterate on agentic AI systems. The ideal candidate will possess exceptional engineering skills, deep ML knowledge, strategic thinking, and a dedication to building exceptional product experiences in a fast-paced environment.

$197k - $314k

We are seeking a Senior AI Engineer to architect and optimize agentic AI systems that will drive the evolution of customer service. You will design AI that performs with precision and coordinates across models, internal APIs, and third-party tools to create reliable, production-grade workflows and intuitive customer interactions. Using advanced techniques such as prompt engineering, model fine-tuning, evaluation frameworks, and system-level orchestration, you will improve the accuracy, reliability, and reasoning capabilities of AI across the enterprise. This is an opportunity to help define the AI foundation of the Un-carrier and build intelligent systems that set a new standard for customer experience.

$153k - $276k

PALO IT is seeking a Data Engineer in CDMX to design and implement scalable data solutions for a leading insurance company. This role focuses on building resilient data pipelines and creating strategic insights for underwriting, risk management, fraud prevention, and customer experience. As a Data Engineer, you will lead and accelerate software innovation by designing, building, and maintaining scalable and secure data pipelines in cloud environments, integrating large volumes of data, and automating data processes. You will also build and maintain modern data lakes and warehouses, implement data quality and governance, and design optimized datasets to enable machine learning models and analytics.

Accenture

Accenture is seeking a Forward Deployed Engineer (FDE) at the Consultant level to join their growing capability. This role involves acting as a hands-on technical contributor to strategic client accounts, embedding within client organizations to design, build, and ship advanced AI products, both traditional and agentic. You will own delivery outcomes end-to-end, from proof-of-value to production, and contribute to shaping the FDE model by learning and applying repeatable patterns. This is an opportunity to be an early member of the Industry & Enterprise FDE capability and help define the future of enterprise AI deployment.

Capital One is seeking a Director of AI Engineering to lead the development of responsible and reliable AI systems that are transforming the banking industry. This role is central to the Intelligent Foundations and Experiences (IFX) team, which empowers other teams with Generative AI models and platforms. You will oversee the design, development, and deployment of AI software components, including foundation model training, LLM inference, and model evaluation. The position involves making critical build-vs-buy decisions for AI technologies and contributing to the technical vision and roadmap for foundational AI systems. You will also be responsible for attracting and retaining top AI talent and fostering a culture of continuous learning and innovation.

Mercor is seeking an AI Infrastructure Engineer to build and manage the GPU and accelerator platform that powers our AI workloads. This role involves overseeing clusters, schedulers, training and inference serving, and the observability and cost data associated with fleet usage. You will write production code daily and own systems end-to-end, from design to on-call responsibilities. Mercor is a leading AI data company, building the layer between human expertise and frontier models, with a mission to organize human intelligence to power the AI economy. We are a profitable Series C company valued at $10 billion.

$200k - $400k

SambaNova

As a new grad Cloud Platform Engineer, you will write automation and infrastructure code to ensure the SambaNova inference service remains fast and available. This role involves building monitoring and dashboards, managing Kubernetes clusters and Terraform modules, and assisting with the setup of new regions. Upon ramp-up, you will join a shared on-call rotation to support production operations.

$131k - $197k

Mastercard is seeking a Senior Software Engineer to join a new US-based Data & AI Platform team. This role will focus on solving shared data problems for Mastercard's analytics products, including secure data exchange, consistent business definitions, and AI-assisted data onboarding. You will be instrumental in making business definitions, metrics, and dataset relationships reusable across products, independently delivering key components, and establishing the team's engineering practices. The initial focus will involve prototyping solutions for metric versioning and data access enforcement, followed by shipping the first shared component.

$132k - $212k

Athelas

At Commure, we are building the AI Operating System for healthcare, transforming how care is delivered, documented, and financed. Our platform integrates ambient AI, intelligent agents, and autonomous RCM processing to address the significant administrative burden in healthcare. We are at the forefront of this transformation, with a rapidly growing user base and recent significant funding, reflecting strong market confidence. Our team works directly with clinicians, ensuring immediate impact and a fast-paced, ownership-driven environment. We are seeking individuals energized by complex challenges and a commitment to excellence to help build the future of healthcare.

$170k - $190k

Capital One is seeking a Director AI Engineer to lead the creation of responsible and reliable AI systems that are transforming the banking industry. This role is central to the Intelligent Foundations and Experiences (IFX) team, which advances the state of the art in AI science and engineering, building and deploying proprietary solutions that deliver value to millions of customers. You will partner with cross-functional teams to deliver AI-powered products, oversee the design, development, and deployment of AI software components, and make critical build-vs-buy decisions across a broad stack of AI technologies. This position offers the opportunity to invent and introduce state-of-the-art foundation model optimization techniques, contribute to the technical vision and roadmap of foundational AI systems, and attract and retain top talent in the AI industry.

$269k - $307k

Athelas

Commure is seeking a Senior Software Engineer to lead the platform that powers its fleet of autonomous agents. These agents are crucial for supporting teams, automating workflows, and leveraging organizational knowledge. The role involves building and maintaining the technical foundation for deploying, operating, observing, and improving these agents at scale. This position blends platform engineering with applied AI, focusing on the infrastructure, reasoning harnesses, and tools for agent development and deployment. The engineer will also ensure the existing agent fleet is secure, reliable, observable, and cost-efficient. The ideal candidate is a strong Python developer with deep Linux expertise, comfortable working across application code, operational tasks, virtual machines, Kubernetes, and cloud infrastructure.

$50k - $93k

Databricks

As a Staff Data & AI Technical Solutions Engineer, you will be responsible for driving and mentoring others in producing Data & AI technical solutions for customer-reported issues. This involves deep dives into production data pipelines, AI workflows, and streaming data ingestion. You will leverage your deep expertise in Data & AI architectures to maintain complex production environments and adhere to SLAs. Collaboration with product engineering and customer account teams is key to delivering results, especially during critical production downtime. You will provide customers with guidance and expertise to build performant architectures and reliable services using Databricks' platform, acting as a technical expert within a global support engineering organization.

Capital One India is building responsible and reliable AI systems to transform banking. We leverage machine learning for personalized customer experiences and are at the forefront of AI adoption. Our applications of AI & ML bring humanity and simplicity to banking, and we are committed to developing world-class applied science and engineering teams. You will help reimagine how we serve our customers and businesses with the transformative power of emerging AI capabilities. The Intelligent Foundations and Experiences (IFX) team is central to this vision, advancing AI science and engineering and deploying proprietary solutions that deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products responsibly and scalably.

The Production Mapping organization at General Motors is responsible for developing mapping solutions to support Autonomous Vehicle (AV) and Advanced Driver-Assistance Systems (ADAS) features, including Super Cruise. In this role, you will contribute to solving complex mapping challenges using machine learning, advanced algorithms, large-scale data processing, and cloud computing. You will be involved in the entire development lifecycle, from exploring vehicle data and developing models to building scalable data workflows, deploying solutions, and evaluating their performance. Areas of focus include machine learning, geospatial analytics, distributed data processing, workflow automation, and cloud-based software development.

$148k - $148k

T-Mobile is seeking a Sr. Engineer for Commercial AI Forward Deployment to embed with business customers and lead the technical build for AI product deployments. This role is crucial for supporting T-Mobile's commercial AI programs, including Kinetic Edge AI (KEAI) and the broader Physical AI program, by integrating devices like cameras, sensors, drones, and autonomous vehicles. The engineer will build data pipelines, fine-tune models, deploy AI applications over T-Mobile's network and edge, and ensure seamless integration of hardware, software, networking, and AI. Success will be measured by the delivery of working deployments, production stability, and the creation of reusable components.

$164k - $295k

ElevenLabs

ElevenLabs is seeking an experienced Data Engineer to join their Data team. This role involves building and scaling data pipelines, establishing best practices, ensuring data quality, and enabling self-service data access for various teams. The ideal candidate will own and streamline data pipelines from ingestion to delivery, ensuring reliability, scalability, and efficiency. They will also implement dbt best practices, data standards, and quality controls, and build self-service tooling with clear documentation to empower cross-functional teams to meet their data needs independently. A key aspect of this role will be creating AI agents to answer data-related questions for others.

sarvam

Sarvam is building Indic-language AI for large-scale use, and the CPU Infrastructure team is responsible for all systems outside the GPU fleet. This includes managing Kubernetes across multiple cloud providers, the network infrastructure, identity and access management, observability, cost optimization, and the product delivery pipeline. The team operates on an end-to-end ownership model, where engineers are empowered to automate repetitive manual tasks by building scripts, pipelines, bots, or AI agents. As an AI company, Sarvam integrates AI agents into its own operations for tasks like planning infrastructure changes, triaging alerts, and handling routine issues, with engineers providing oversight. In this role, you will ensure the smooth operation of Sarvam's product infrastructure, handling daily tasks such as deployments, provisioning, access control, incident response, and cost management. A key expectation is to automate these operational duties. The ideal candidate possesses an instinct for identifying manual processes and building automated solutions, whether through scripts, pipeline steps, bots, or AI agents. As you reduce operational toil, your focus will shift towards platform and automation development. You will contribute to the infrastructure supporting a variety of AI products, including voice agents, coding agents, and API platforms.

At PwC, our data and analytics engineering team leverages advanced technologies to design and develop robust data solutions for clients, transforming raw data into actionable insights to drive business growth. You will focus on designing and building data infrastructure and systems for efficient data processing and analysis, developing data pipelines, integration, and transformation solutions. This role is part of a purpose-led and values-driven work environment that drives innovation and allows you to make a tangible impact.

This internship is focused on ML research mixed with applied ML and software engineering, specifically around trust and safety in LLMs. Topics include prompt injections, safety alignment and guardrails, privacy and confidentiality, and interpretability. Other topics closer aligned with the student's research may also be considered.

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking, OPS Tech, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Lovable is seeking an exceptional Forward Deployed Engineering Lead to help build the future of AI-powered software creation. This role involves building and leading an outstanding Forward Deployed Engineering (FDE) team, while collaborating with other FDE leaders to define the function's global operations. You will remain deeply hands-on, working directly with ambitious customers, writing production code, and contributing to projects alongside your team. Lovable is a software creation platform empowering individuals and businesses to bring ideas to life, having facilitated over 60 million projects since its launch. The company is a fast-growing, generational AI company with a culture of extreme ownership, high velocity, and low-ego collaboration.

$241k - $391k