Jobs

About Oversight

Oversight is the world’s leading provider of AI-based spend management and risk mitigation solutions for large enterprises. Based in Atlanta, GA, Oversight works with many of the world’s most innovative companies and government agencies to digitally transform their spend audit and financial control processes.

Oversight’s AI-powered platform works across our customers’ financial systems to continuously monitor and analyze all spend transactions for fraud, waste, and misuse. With a consolidated, consistent view of risk across their enterprise, customers can prevent financial loss and optimize spend while strengthening the controls that improve compliance. Learn More.

Position Overview:

We are seeking a skilled and forward-looking ML Engineer with experience in Large Language Models (LLMs), generative AI, and agentic architectures to join our growing R&D and Applied AI team. This role is critical in helping Oversight deliver the next generation of agentic AI systems for enterprise spend management and risk controls.

The ideal candidate has a strong foundation in machine learning, modern deep learning frameworks, and data pipelines, coupled with hands-on experience experimenting with LLMs, small language models (SLMs), multi-agent frameworks, and retrieval-augmented generation (RAG).

You will work closely with AI/ML researchers, data engineers, and product teams to design, implement, and optimize models that power autonomous exception resolution, anomaly detection, and explainable insights. This is a hands-on engineering role where you will not only build and scale ML systems but also actively contribute to cutting-edge applied research in agentic AI.
Core ML/LLM Engineering
• Contribute to the design, training, fine-tuning, and deployment of ML/LLM models for production.
• Implement RAG pipelines using vector databases.
• Work with frameworks like LangChain, LangGraph, MCP to prototype and optimize multi-agent workflows.
• Develop prompt engineeri

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA.Minimum qualifications:
• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

Preferred qualifications:
• Experience building and scaling platform infrastructure for SaaS or e-commerce products.
• Experience in a technical leadership role leading project teams and setting technical direction.
• Experience in product sense with a focus on developer experience (DX) and merchant tooling, ensuring features directly address customer pain points.
• Ability to work in an agile, "0-to-1" environment, managing projects from conception to launch.

About The Job

Google's software eng

About the Role

We are seeking a Lead ML Engineer, LLM Post-Training Infrastructure to join the Salesforce AI Research Incubation Team. In this role, you will own the infrastructure and engineering systems that support LLM post-training, large-scale evaluation, and model deployment. You will build scalable, reliable

pipelines for training orchestration, rollout generation, reward and feedback pipelines, experiment management, and model iteration, helping translate research ideas into production-grade systems.

This is an engineering-first role focused on ML infrastructure, distributed systems, and training/evaluation workflows rather than developing new model architectures or algorithms. You will work closely with research scientists, agent engineers, and platform teams to operationalize post-training and feedback-driven learning methods into robust, reusable systems.This is a lead-level individual contributor role with deep ownership of model-facing infrastructure and strong cross-functional influence.

Key Responsibilities:

● Design, build, and maintain infrastructure for LLM post-training, evaluation, and

deployment.

● Own scalable pipelines for training orchestration, rollout generation, reward and

feedback processing, checkpointing, and experiment management.

● Build reliable systems for feedback-driven model improvement, including human or AI

feedback loops, large-scale offline evaluation, and regression detection.

● Partner closely with research scientists to turn new post-training methods into reusable

engineering workflows.

● Collaborate with agent engineers and platform teams to integrate training and evaluation

systems with production model and agent stacks.

● Optimize distributed training and inference workloads for reliability, throughput, cost

efficiency, and observability.

● Drive best practices for reproducibility, versioning, monitoring, deployment, and

operational excellence across ML systems.

Required Qualifications:

● 5+ years of

Job Description Responsible for serving as a senior technical leader driving the design, development, and deployment of advanced AI solutions that address complex business challenges. Provides deep expertise across domains such as computer vision, natural language processing, recommendation systems, and predictive analytics, while setting strategic direction, establishing best practices, and influencing cross-functional teams to maximize the impact of AI initiatives. The role is onsite, 5 days/week in Irvine, CA. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

To learn more about how we collect, keep, and process your private information, please review

Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements Minimum five (5) + years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. Two (2) + years' experience in Python, PyTorch, TensorFlow, or other machine learning frameworks. Must have advance knowledge and experience with C#. Proven experience applying large language models (LLMs), generative AI, or OSS agent-based frameworks to busine

Apple builds products that are loved by people around the world-products that enrich lives by making powerful technology feel simple, intuitive, and accessible. Through deep integration of hardware, software, services, and design, we deliver end-to-end experiences that fit naturally into everyday life and work seamlessly across your devices and data. This is where ambitious ideas become real products, shipped at global scale and trusted by millions, and increasingly billions, of people.

We’re building Apple Intelligence to be the most personalized and integrated intelligence on the planet. Apple is a company people trust with their most personal information-from everyday communication to photos, health, and fitness-enabling us to build highly contextual experiences with uncompromising privacy & security. We’re looking for software engineers to build experiences that harness cutting-edge technologies like AI, machine learning, and computer vision to solve difficult, high-impact problems at scale, in ways that feel effortless to our users. Our work sits at the intersection of AI, system software, and user experience, and aims to create features you’d genuinely want to use. This is a rare opportunity to get in on the ground floor of something that will redefine how millions of people interact with their devices, while upholding Apple’s core values of privacy, accessibility, and inclusion.

Description

In this role, you will work across the stack - from the system software and frameworks to end-user interfaces - to build Apple Intelligence features that enrich people’s lives. This is a highly cross-functional role working with design, algorithms, software, services, privacy, security, performance, and sometimes even HW / Silicon teams across Apple to engineer end-to-end solutions.

You will need to work quickly and creatively to help demonstrate the viability of ideas and technologies while building robust, production-ready systems that millions of users will depend o

About the Role:

Grade Level (for internal use):
13

S&P Global Ratings

The role: Director Software Development Engineer in Test

The Team:

This Director-level role leads the Enginuity-X team (Engineering Excellence) within the S&P Global Ratings Engineering organization. You will drive strategic Quality Engineering (QE) transformation, aligning automation, performance, security, AI, and usability with business outcomes.

As a key enabler of Engineering Excellence, you will work horizontally across delivery ARTs, partnering with cross-functional areas to deliver quality at scale.

Key Responsibilities
• Automation Strategy: Define and implement enterprise-wide automation frameworks integrated with CI/CD pipelines for scalability and maintainability.
• Performance Engineering: Establish standards and frameworks for performance, reliability, and scalability testing.
• Security & Compliance: Drive secure engineering practices, including security testing, threat modeling, and vulnerability assessments.
• Non-Functional Testing: Build capabilities for observability, resilience, data integrity validation, and regulatory compliance.
• AI-Driven Quality: Advance agentic AI platforms for predictive and autonomous testing, leveraging ML for defect prediction and risk-based testing.
• People Leadership: Lead and mentor a high-performing team, fostering innovation, collaboration, and continuous learning.
• Cross-Functional Alignment: Partner with Product, Architecture, and Delivery leaders to embed quality practices into engineering workflows.
• Governance & Metrics: Define KPIs and quality metrics to measure automation, performance, and security effectiveness; report outcomes to senior leadership.
• Talent Enablement: Develop career paths, training programs, and certification strategies to build future-ready QE talent.
• Usability & Accessibility: Champion inclusive product experiences by promoting usability and accessibility standards.

Required Skills & Experience
• 15+ ye