Join the team as Twilio's next Staff Machine Learning Engineer on Twilio's AI/ML Platform team. This position is needed to build the foundational AI/ML capabilities and common platform tooling that power intelligent engagement experiences across Twilio.

Responsibilities:

• Conduct deep-dive research into and implement state-of-the-art LLM inference and orchestration.
• Identify opportunities to leverage small language via fine-tuning/distillation.
• Build ML systems that hold up at Twilio scale.
• Set standards and tooling for building evals across a range of AI/ML capabilities.
• Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment.
• Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation.

Qualifications:

• Required:
• 8+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design.
• Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action.
• Proficiency in Python programming language.
• Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores.
• Strong fundamentals of statistical machine learning algorithms, transformer models, LLMs.
• Extensive experience with ML Ops and LLM Ops patterns, including designing and implementing rigorous evaluation metrics for non-deterministic AI features at scale.
• Strong communication skills and highly effective collaborator who works well with teammates.
• Familiarity with AI-assisted development tools (e.g., Claude, Codex, GitHub Copilot, Cursor, etc.).
• Desired:
• Prior experience building evals for autonomous agents and large language models.
• Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency.
• Prior experience working in a globally distributed team.
• Evidence of technical leadership/impact, such as contributions to open-source data/ML projects and/or published technical presentations, blog posts, papers, or research.

Location: This role will be remote and based in Ontario, British Columbia or Alberta, Canada.

Travel: You may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer: Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off.

The estimated pay ranges for this role are as follows:

• $160,320 - $200,400
• Target Bonus Percentage 12.5%

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Position Overview

This role involves architecting and scaling a SOX compliance program using AI-driven testing to enhance accuracy, provide real-time insights, and reduce manual overhead.

Responsibilities

• Design, develop, and maintain AI-driven testing for SOX compliance, enhancing accuracy and reducing manual overhead.
• Spearhead testing of core business process controls using agentic AI systems.
• Collaborate cross-functionally with Finance, Accounting, Sales, People & Culture, Legal, and other stakeholders.
• Serve as a subject matter expert and champion for AI and automation in risk management.
• Contribute to a culture of innovation within the Risk Advisory and Assurance team.

Requirements

• 2-4 years of experience in a Big 4 accounting firm, internal audit, or compliance function with a passion for technology and automation.
• Experience supporting internal controls and SOX testing in the technology industry, preferably platform companies.
• Professional certifications such as CPA, CIA, CISA, and/or CISSP preferred.
• Controls testing experience, including business process controls, entity-level controls, application controls, and key reports.
• Ability to assess complex processes to identify risks and opportunities for automation.
• Hands-on experience with AI tools and prompting.

Benefits

• Global benefit programs
• Family planning support
• Gender-affirming care
• Mental health and coaching benefits
• Comprehensive medical benefits and health care spending account
• Registered retirement savings plan with matching contributions
• Income replacement programs
• Flexible vacation and paid volunteer time off
• Generous paid parental leave

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The Ads Business Engineering team operates at the intersection of engineering, product, sales, and business development, delivering technical expertise and solutions that empower technology partners, agencies, and advertisers to seamlessly integrate with Reddit's advertising platform.

As a key member of this rapidly expanding team, you'll have the opportunity to take meaningful ownership,driving cutting-edge AdTech integrations, launching and managing strategic partnership programs, and helping scale Reddit's developer ecosystem.

Responsibilities:

• Act as a trusted technical advisor and solutions architect for strategic partners (or direct advertisers), guiding them through the integration and adoption of Reddit's advertising APIs and tools.
• Design and prototype proof-of-concept solutions that accelerate technical enablement and create tangible value for partners (or direct advertisers).
• Collaborate directly with engineering teams at partner (or direct advertiser) organizations to optimize performance, address integration gaps, and troubleshoot complex issues.
• Lead onboarding, testing, and pre-launch support to ensure a smooth and successful implementation experience.
• Represent the technical voice of the partner (or direct advertiser) internally, surfacing feedback and influencing product and platform priorities to improve outcomes for both sides.
• Support escalations for complex or high-impact integrations and provide clear, actionable direction to resolve blockers quickly and sustainably.

Basic Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field,or equivalent practical experience.
• 5+ years of software development experience, with a strong track record of owning end-to-end technical projects, including cross-org coordination.
• Hands-on coding expertise in one or more modern programming languages (e.g., Python, Java, JavaScript, Node.js), with a focus on backend or API development.
• Proven ability to contribute directly to external integrations and prototype in partner environments.
• Strong understanding of REST APIs, HTTP, OAuth2 / OpenID Connect, and modern SDK patterns.
• Effective communicator with experience presenting complex technical and business ideas to both internal leadership and external stakeholders.

Preferred Qualifications:

• Deep understanding of the AdTech ecosystem and how Reddit's platform aligns with industry trends and standards.
• Contributions to developer experience through tooling, documentation, or ecosystem standards.
• Track record of influencing product roadmaps and getting involved in release, launch and product adoption activities in collaboration with sales, product, and engineering.
• Ads Industry experience & Ads Partnerships experience

Benefits:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Comprehensive Medical Benefits & Health Care Spending Account
• Registered Retirement Savings Plan with matching contributions
• Income Replacement Programs
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

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We have a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don’t live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence.

This is a generalist mid-level backend position within the Ads Organization. Ads is the fuel that powers Reddit’s mission. As a backend engineer on the team, candidates might work on:

• Microservices and APIs that power our advertiser-facing product, ads.reddit.com
• Distributed systems that ensure the right ad gets shown to the right user at the right time
• Backends that power interactive user experiences on our ads like Polls and Games
• Real time, data intensive systems that measure the performance of our ad campaigns
• Infrastructure that supports all of the above

Technologies used on the team include:

• Languages: Go, Python, Scala
• Frameworks: Spark, Thrift, Baseplate, Kafka
• Datastores: Postgres, BigQuery, Redis, Druid
• Tools: Kubernetes, Argo, Docker

Mid-level engineers are expected to absorb best practices and learn exceptionally quickly while being effective core contributors. Engineers at this level must be able to code independently, but may work with senior engineers on the design of complex solutions. The most important skills an engineer at this level must possess are 1) coachability and an eagerness to grow, 2) deep passion for coding, and 3) excellent independent learning skills, all while operating as a fully functioning member of an engineering team.

Responsibilities:

• Work with product managers to design and implement Ads products.
• Collaborate closely with the platform and data teams while building new features.
• Lead the processes needed to improve operational stability, including improving code quality, delivering dashboards and data visualizations.
• Build extensible components that would align with the product objectives.
• Support day to day project management tasks including communicating project updates, managing project timelines and overseeing project execution.

Required Qualifications:

• 3+ years of software development experience in one or more general purpose programming languages (Java, Scala, Go, C++, Python).

Bonus Points:

• Experience working in the Ads domain
• Experience or interest in the advertising business and understanding customer needs

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In this role, you will set the long-term strategic goals for Reddit's marketing measurement, influencing senior leadership and defining how we value our brand and performance efforts.

Responsibilities:

• Set Long-Term Marketing Strategy: Define the 2–3 year technical roadmap for marketing measurement. Establish the 'North Star' metrics and frameworks that determine how Reddit allocates hundreds of millions in marketing budget.

• Optimize Marketing ROI: Build and refine Media Mix Models (MMM) and Multi-Touch Attribution (MTA) systems to mathematically quantify the incremental impact of marketing spend.

• Bridge B2B & B2C Growth: Design unified frameworks to optimize marketing aimed at both new advertisers (driving revenue) and new users (driving engagement), identifying synergies where brand awareness for one fuels growth for the other.

• Advance Causal Inference & Experimentation: Lead the design of complex 'always-on' incrementality testing and geo-holdout experiments. Develop methodologies to measure the long-term 'halo effect' of brand marketing on organic growth.

• Lead Through Influence: Collaborate deeply with Marketing, Growth, and Finance to translate complex data insights into actionable budget shifts.

• Be the Technical Guide for the Team: Mentor junior scientists and set the technical bar for code quality and statistical rigor across the Marketing organization.

Minimum Qualifications:

• Education: Advanced degree (Master's or Ph.D.) in Statistics, Economics, Mathematics, or a related quantitative field.

• Experience: For M.S. holders: 10+ years of industry experience in marketing science, growth data science, or econometrics. For Ph.D. holders: 6+ years of industry experience.

• Domain Expertise: Deep understanding of the marketing ecosystem, including hands-on experience with Marketing Mix Modeling (MMM), Incrementality Testing, and Customer Lifetime Value (LTV) prediction.

• Technical Skills: Advanced proficiency in Python or R and SQL. Experience building production-grade data pipelines and using machine learning for predictive modeling (e.g., churn prediction, lead scoring).

• Strategic Communication: Proven track record of influencing C-suite stakeholders and 'translating' complex statistical concepts into business strategy.

• Adaptability: Experience working in fast-paced environments where you must navigate ambiguity and build frameworks from the ground up.

Preferred Qualifications:

• Experience with Bayesian structural time series or causal inference libraries.

• Previous experience in a high-growth marketplace or social media platform.

• A passion for the Reddit community and an understanding of our unique 'Ads-as-Content' philosophy.

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Your responsibilities will include:

• Designing, building, and deploying production-grade machine learning models and systems at scale
• Owning the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
• Building scalable data and model pipelines with strong reliability, observability, and automated retraining
• Working with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems
• Partnering cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions

You'll work on a wide range of high-impact problems across the Reddit ecosystem, including recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, and multimodal embedding systems.

To be successful in this role, you'll need:

• 3-5+ years of experience building, deploying, and operating machine learning systems in production
• Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
• ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
• Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions

Preferred qualifications include experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems, familiarity with distributed systems and large-scale data processing, and experience working with real-time systems and low-latency production environments.

At Reddit, we're committed to building a workforce representative of the diverse communities we serve. We're proud to be an equal opportunity employer and are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

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Your responsibilities will include:

• Working with product managers to design and implement Ads products
• Collaborating closely with the platform and data teams while building new features
• Leading the processes needed to improve operational stability, including improving code quality, delivering dashboards and data visualizations
• Building extensible components that align with product objectives
• Supporting day-to-day project management tasks, including communicating project updates, managing project timelines, and overseeing project execution

To succeed in this role, you'll need:

• 3+ years of software development experience in one or more general-purpose programming languages (Java, Scala, Go, C++, Python)
• Ability to take complete ownership of a feature or project
• Experience working in the Ads domain is a plus
• Interest in the advertising business and understanding customer needs is a plus

We offer a range of benefits, including global benefit programs, family planning support, gender-affirming care, mental health and coaching benefits, comprehensive medical benefits, and more.

If you're passionate about building scalable and reliable software systems, and want to join a team that's dedicated to innovation and growth, we encourage you to apply.

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