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AI/ML roles posted

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Land your dream AI/ML role, faster.

DevFound's AI matched me with my dream job in under a week!. DevFound's AI Copilot revolutionized my job search! The tailored resume feature and insider connections helped me land interviews at top AI companies. I'm now working on cutting-edge ML projects!

AC
Alex Chen
Machine Learning Engineer
Jane Doe
San Francisco, CA [email protected] (415) 555-0100 in/janedoe
Professional Summary

Senior ML engineer with 6+ years building LLM and retrieval systems in production. Shipped ATS-safe résumé parsing for 30k users and cut p95 latency 38% across the public API. Focused on evaluation, retrieval quality, and reliable model serving at scale.

Professional Experience
Senior ML Engineer | Acme AI
2022 — Present · San Francisco, CA

• Built the model-serving layer powering 12M inferences/day at 99.9% uptime, cutting p95 latency 38%.

Worked on search relevance and model quality.

• Built an offline eval harness (LLM-as-judge) adopted by 5 teams to gate every model release.

• Scaled A/B-tested ranking experiments across 40+ launches, adding $3.2M in annual revenue.

• Mentored 6 engineers and ran the on-call rotation that cut Sev-2 incidents 44% year over year.

Trained and fine-tuned PyTorch models for production inference.

Machine Learning Engineer | DataForge
2019 — 2022 · Remote

• Shipped a vector-search pipeline over 40M documents with sub-100ms retrieval.

• Cut model training cost 27% by moving feature pipelines to Spark + parquet.

• Designed the feature store powering 30+ models, cutting training-data build time from days to hours.

• Partnered with product to ship semantic search that lifted conversion 12% across 3 client deployments.

Data Scientist | Northwind
2018 — 2019 · New York, NY

• Built churn models (AUC 0.89) that informed a retention program worth $1.2M ARR.

• Automated executive reporting with Airflow + dbt, replacing 20 hours/week of manual analysis.

Selected Projects

OpenRAG — open-source retrieval-eval toolkit; 2.1k GitHub stars, used by 40+ teams.

LatencyLab — inference profiler behind the p95 latency win shipped at Acme AI.

Education
BSc Computer Science | State University
2014 — 2018 · Dean's List
Skills

ML: PyTorch, Transformers, RAG, LLM eval, vector search, fine-tuning

Platform: Python, Ray, Spark, Kubernetes, AWS, Triton

Data: Postgres, BigQuery, Airflow, dbt, Kafka, Redis

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AI Keyword Targeting
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Transformers
Vector search

The problem

You're not getting ghosted by humans.

Most companies screen résumés with Applicant Tracking Systems (ATS) before a recruiter ever looks. If yours isn't structured right, misses the keywords, or trips on a stray table or graphic — it's filtered out. Silently, with no explanation.

Applicant Tracking System
Jane Doe
San Francisco, CA · [email protected] · (415) 555-0100 · in/janedoe
Professional Summary

Senior ML engineer with 6+ years building LLM and retrieval systems in production. Shipped ATS-safe résumé parsing for 30k users and cut p95 latency 38% across the public API.

Experience
Senior ML Engineer — Acme AI
2022 — Present · San Francisco, CA

• Built the model-serving layer powering 12M inferences/day at 99.9% uptime.

• Led retrieval-quality work that lifted answer accuracy 21% across 4 models.

Machine Learning Engineer — DataForge
2019 — 2022 · Remote

• Shipped a vector-search pipeline over 40M documents with sub-100ms retrieval.

• Cut model training cost 27% by moving feature pipelines to Spark + parquet.

• Owned feature-store schema and CI for 20+ downstream model teams.

Skills

PyTorch, TensorFlow, RAG, LLM eval, vector search, Ray, Spark, Kubernetes, AWS

Education
M.S. Computer Science — Stanford University
2017 — 2019 · Machine Learning concentration

• Thesis on retrieval-augmented generation for long-form question answering.

✕ Filtered out by ATS
Your résumé
Submitted
◍ Scanning ✕ Failed
Qualification Match
Against the job description
47%
Parsed fields
Name Detected
Contact info Detected
Experience 3 positions detected
Skills Parsed as body text
Hard skills matched
PyTorchTensorFlowSQLDocker
Job requirements missing
RAGLLM fine-tuningVector searchMLOpsDistributed trainingModel serving

Resume templates

ATS-friendly templates that land AI/ML roles

Start from a template that guides you. Every layout is ATS-parsable, recruiter-tested, and tuned for technical roles — pick one, customize it, apply.

“The quality of AI job opportunities on DevFound is exceptional. The AI Copilot's resume customization and connection recommendations were game-changers. I secured my position at OpenAI in just two weeks!”

Priya Sharma Deep Learning Specialist

Find real open AI/ML jobs and get hired fast

Search thousands of live AI/ML roles, tailor your resume with AI, and track every application — all in one place.

Browse open roles
The devfound AI/ML job board showing thousands of live roles with search, filters, and per-role details.

Your AI resume agent, built to get you hired

Write, tailor, score and optimize your resume in a single conversation. The devfound AI agent handles the details so you can focus on interviews.

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AI mock interviews, practice for real results

Sharpen your answers with devfound AI Interview. Job-tailored questions focused on your resume, with a hiring-ready readiness report.

Start a mock interview
The devfound AI mock interview: pick a role and job description to run a timed interview and get a hiring-ready report.

Wall of Love

Loved by AI/ML job seekers

“DevFound's AI Copilot revolutionized my job search! The tailored resume feature and insider connections helped me land interviews at top AI companies. I'm now working on cutting-edge ML projects!”
Alex Chen

Alex Chen

Machine Learning Engineer

See the AI/ML job board in action Take a look inside devfound
“I've been wanting to transition into AI/ML for months but didn't know where to start. DevFound's AI Copilot made it so easy - it matched me with perfect opportunities and helped me stand out!”
Michael Park

Michael Park

AI Research Engineer

“The quality of AI job opportunities on DevFound is exceptional. The AI Copilot's resume customization and connection recommendations were game-changers. I secured my position at OpenAI in just two weeks!”
Priya Sharma

Priya Sharma

Deep Learning Specialist

“After searching on traditional job boards for months, DevFound delivered results immediately. The AI matching system understood exactly what I was looking for. Now working at a leading AI startup!”
Jordan Williams

Jordan Williams

ML Ops Engineer

“Transitioning from traditional product management to AI seemed impossible until I found DevFound. The platform's AI Copilot connected me with incredible opportunities and I'm now leading AI products at a major tech company!”
Elena Rodriguez

Elena Rodriguez

AI Product Manager

Pricing

Start free, upgrade when it pays off

One focused plan for people actively searching. Land a role sooner and it pays for itself many times over — and the free plan lets you browse, apply and practise before you pay anything.

  • Cancel anytime — no hidden fees.
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  • Browse & apply to all roles
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  • Kanban application tracker
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FAQ

Common questions, straight answers

How does DevFound's AI job matching work?

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

Is AI job searching better than traditional methods?

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

What skills are needed for AI and ML jobs?

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

How do I get matched with AI jobs faster?

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

What locations have the most AI job opportunities?

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

Can DevFound's AI help with remote AI jobs?

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Your next AI/ML role is already posted. Go find it.

Get started for free
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.