Job description
<div class="content-intro"><div class="c-message_kit__blocks c-message_kit__blocks--rich_text"> <div class="c-message__message_blocks c-message__message_blocks--rich_text" data-qa="message-text"> <div class="p-block_kit_renderer" data-qa="block-kit-renderer"> <div class="p-block_kit_renderer__block_wrapper p-block_kit_renderer__block_wrapper--first"> <div class="p-rich_text_block"> <div class="p-rich_text_section">Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit <a class="c-link" href="http://www.redditinc.com/" target="_blank" data-stringify-link="http://redditinc.com" data-sk="tooltip_parent">www.redditinc.com</a>.</div> </div> </div> </div> </div> </div></div><p>Reddit has 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</p> <p><strong>Team Overview</strong></p> <p>We are building the next generation of ML research tools and agentic AI platforms that p
✍️ Tailored application (cached — grounded in your resume)
68 / 100 honest fit
Daniel is a strong backend/platform engineer whose Python, AWS (Lambda/S3/DynamoDB), CI/CD, and automation-framework experience maps directly to building ML systems infrastructure and internal developer tooling, and his intensive hands-on work with LLM/agentic tooling (Claude Code) aligns unusually well with a team building agentic AI platforms and ML research tools. The obvious gap is that his production experience is in ML/data-platform *infrastructure* rather than ads ML modeling or ML training pipelines specifically; he brings systems and tooling depth rather than a background as an ML researcher or ads-ranking practitioner.
Tailored resume highlights
- Built and operate production Flask/Python services end-to-end using LLM/agentic tooling (Claude Code) as a core part of the engineering workflow — directly relevant to building agentic AI platforms and ML research tools for engineers.
- Developed Python automation frameworks integrated into CI/CD pipelines, enabling reproducible deployments and faster feature delivery — the kind of internal tooling and platform work that accelerates ML engineering teams.
- Implemented AWS-based solutions (Lambda, S3, DynamoDB) for scalable data processing and monitoring, plus cron-driven data pipelines and self-healing watchdogs on self-hosted infrastructure.
- Designed and maintained scalable Python/C++ frameworks validating real-time communication protocols and data flows, and expanded automated pipelines that cut manual effort by 40% while improving reliability.
- Led root-cause analysis of complex, cross-team issues in safety-critical systems — reproducing rare defects in-house and driving resolution where reliability and correctness are requirements, not features.
"Why this company?" (draft — personalize before sending)
Reddit's Ads ML Experience Platform team is building ML research tools and agentic AI platforms for engineers — and that's exactly the workflow I live in daily. I've shipped roughly a dozen production services end-to-end using Claude Code and agentic tooling, so I understand firsthand what makes those platforms actually usable versus frustrating. My day job is the systems side of that: Python backends, AWS data pipelines, and CI/CD in safety-critical medical software where reliability isn't optional. Building the tooling that helps ML engineers move faster and more reliably is work I'd genuinely enjoy owning.
Cover letter (review before sending)
Dear Reddit Hiring Team,
I'm applying for the Senior Machine Learning Systems Engineer role on the Ads ML Experience Platform team. My background is building the backend services, automation frameworks, and CI/CD pipelines that keep engineering teams moving fast and reliably. At Medtronic I built Python services and AWS-based data processing (Lambda, S3, DynamoDB), automated regression and integration pipelines that cut manual effort by 40%, and led root-cause analysis of complex cross-team defects in safety-critical software where correctness is a hard requirement.
What maps most directly to your team's charter of ML research tools and agentic AI platforms is my independent work: I design, ship, and operate production Flask/Python services built end-to-end with LLM/agentic tooling (Claude Code), including automated data pipelines and self-healing monitoring. I've lived the workflow your platform is meant to accelerate, from both the tooling and the systems-reliability side.
I'd welcome the chance to bring that platform-and-tooling mindset to Reddit's Ads ML team.
Sincerely,
Daniel Maynard
ATS keywords you have but should add
ML systems / ML infrastructureML platformagentic AIdeveloper toolingdata pipelinesdistributed systemsscalabilitymodel deployment infrastructurePython (production services)
Everything is grounded strictly in your resume — review before you submit. Nothing is auto-sent.