STEM OPT Applied AI Engineer Jobs
Applied AI Engineer roles sit squarely within STEM degree categories that qualify for the 24-month STEM OPT extension, giving you up to 36 months of F-1 work authorization. Every employer you work for must be enrolled in E-Verify and sign a formal training plan with your DSO before your extension starts.
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Get Access To All JobsAbout NewsBreak
Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech.
Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale.
Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence.
If you're inspired to dream big, innovate fast, and make a difference, we'd love to hear from you!
About the Role
Are you looking to engage in AI Account Management algorithm work as an excellent engineer to join our advertising team? In this role, you will be responsible for designing, developing, and optimizing an AI-driven intelligent account hosting and optimization platform. You will utilize LLMs, Multimodal Foundation Models, and related techniques to build AI advertising expert systems (AI Agents) that run a closed optimization loop — autonomously diagnosing accounts and safely auto-tuning delivery.
Your work will directly lower the delivery barrier for global advertisers on our platform. While ensuring the health and compliance of the account ecosystem, your intelligent operations will maximize advertisers' willingness to spend and platform revenue.
Responsibilities
- Build In-house AI Account Manager System: Own the algorithm and system design for the core "AI Account Manager" — realizing automated hosting, autonomous optimization, and intelligent scheduling of optimization across many advertiser accounts running concurrently.
- Construct Intelligent Diagnosis and Strategy Recommendation Models: Analyze advertisers' performance data and delivery history to assess account health and automatically diagnose delivery pain points (such as inability to scale volume, sudden drops in ROI, or budget capping), then use LLMs to generate and safely execute actionable, auditable account-level tuning strategies.
- Ensure Reliability and Measurable Quality: Build the long-running services, observability, dry-run safeguards, and offline/online evaluation that keep optimization quality measurable and catch regressions before they reach live spend.
- Cross-team Collaboration to Drive Growth: Work closely with the platform-side ad delivery algorithm team and product managers to transform AI account management capabilities into the platform's core commercial competitiveness, improving advertiser retention rate and overall consumption.
Minimal Qualifications
- Education Background: Bachelor's/Master's degree or higher in Computer Science, Artificial Intelligence, Data Science, or related fields.
- Work Experience:
- Possess a basic understanding of fields such as ad delivery platforms or recommendation systems; fresh graduates are acceptable.
- Familiar with building, deploying, and optimizing agentic systems in production environments.
- Strong software-engineering fundamentals: production-quality code, asynchronous/concurrent programming, typed and data-modeled code, and a solid testing discipline.
- Core Technical Stack:
- Master LLMs, RAG, tool-use, memory handling, and agent orchestration (including MCP-style tool ecosystems).
- Hands-on with harness engineering, structured/schema-validated LLM outputs, and integration with modern model APIs.
- Experience with REST/API integration and building reliable long-running services; familiar with modern deployment tools such as Kubernetes.
- Solid grounding in machine learning and AI fundamentals; familiar with advertising or recommendation system concepts.
- Possess excellent analytical and complex problem-solving abilities.
Preferred Qualifications
- Industry Background: Algorithm experience in the field of ad delivery, with more than 2 years applying large-model capabilities to systems such as automated delivery, automated hosting, autonomous tuning, or automatic scheduling.
- AI Production Experience: Experience landing commercial AI agents (agent-based systems), large-model instruction tuning, or multimodal models.
- Business Acumen: Understanding of digital advertising mechanics and core metrics (CPA, ROAS, CVR, CTR, conversions) and of online A/B experimentation.
What We Offer
- Technical Hard Power Born for Monetization: Participate in using the most cutting-edge Generative AI and Agent technologies to reshape the B-end ad monetization ecosystem under internet scale.
- Direct Commercial Impact: Your algorithm and engineering optimizations will directly reflect on the real growth of advertisers and the platform's revenue flywheel.
- Top-tier Computing Resources and Environment: Access to industry-leading foundation models, large-scale computing infrastructure, and opportunities to work side-by-side with world-class advertising, AI, and infrastructure engineers.
Benefits
We offer a competitive benefits package:
- Health, dental, and vision care for you and your family (100% coverage for employee)
- Top-tier 401(K) plan with company matching
- Paid time off and paid holidays
- FSA, HSA and commuter benefits programs
- Team activity budget
CPRA Privacy Notice for California Candidates
About NewsBreak
Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech.
Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale.
Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence.
If you're inspired to dream big, innovate fast, and make a difference, we'd love to hear from you!
About the Role
Are you looking to engage in AI Account Management algorithm work as an excellent engineer to join our advertising team? In this role, you will be responsible for designing, developing, and optimizing an AI-driven intelligent account hosting and optimization platform. You will utilize LLMs, Multimodal Foundation Models, and related techniques to build AI advertising expert systems (AI Agents) that run a closed optimization loop — autonomously diagnosing accounts and safely auto-tuning delivery.
Your work will directly lower the delivery barrier for global advertisers on our platform. While ensuring the health and compliance of the account ecosystem, your intelligent operations will maximize advertisers' willingness to spend and platform revenue.
Responsibilities
- Build In-house AI Account Manager System: Own the algorithm and system design for the core "AI Account Manager" — realizing automated hosting, autonomous optimization, and intelligent scheduling of optimization across many advertiser accounts running concurrently.
- Construct Intelligent Diagnosis and Strategy Recommendation Models: Analyze advertisers' performance data and delivery history to assess account health and automatically diagnose delivery pain points (such as inability to scale volume, sudden drops in ROI, or budget capping), then use LLMs to generate and safely execute actionable, auditable account-level tuning strategies.
- Ensure Reliability and Measurable Quality: Build the long-running services, observability, dry-run safeguards, and offline/online evaluation that keep optimization quality measurable and catch regressions before they reach live spend.
- Cross-team Collaboration to Drive Growth: Work closely with the platform-side ad delivery algorithm team and product managers to transform AI account management capabilities into the platform's core commercial competitiveness, improving advertiser retention rate and overall consumption.
Minimal Qualifications
- Education Background: Bachelor's/Master's degree or higher in Computer Science, Artificial Intelligence, Data Science, or related fields.
- Work Experience:
- Possess a basic understanding of fields such as ad delivery platforms or recommendation systems; fresh graduates are acceptable.
- Familiar with building, deploying, and optimizing agentic systems in production environments.
- Strong software-engineering fundamentals: production-quality code, asynchronous/concurrent programming, typed and data-modeled code, and a solid testing discipline.
- Core Technical Stack:
- Master LLMs, RAG, tool-use, memory handling, and agent orchestration (including MCP-style tool ecosystems).
- Hands-on with harness engineering, structured/schema-validated LLM outputs, and integration with modern model APIs.
- Experience with REST/API integration and building reliable long-running services; familiar with modern deployment tools such as Kubernetes.
- Solid grounding in machine learning and AI fundamentals; familiar with advertising or recommendation system concepts.
- Possess excellent analytical and complex problem-solving abilities.
Preferred Qualifications
- Industry Background: Algorithm experience in the field of ad delivery, with more than 2 years applying large-model capabilities to systems such as automated delivery, automated hosting, autonomous tuning, or automatic scheduling.
- AI Production Experience: Experience landing commercial AI agents (agent-based systems), large-model instruction tuning, or multimodal models.
- Business Acumen: Understanding of digital advertising mechanics and core metrics (CPA, ROAS, CVR, CTR, conversions) and of online A/B experimentation.
What We Offer
- Technical Hard Power Born for Monetization: Participate in using the most cutting-edge Generative AI and Agent technologies to reshape the B-end ad monetization ecosystem under internet scale.
- Direct Commercial Impact: Your algorithm and engineering optimizations will directly reflect on the real growth of advertisers and the platform's revenue flywheel.
- Top-tier Computing Resources and Environment: Access to industry-leading foundation models, large-scale computing infrastructure, and opportunities to work side-by-side with world-class advertising, AI, and infrastructure engineers.
Benefits
We offer a competitive benefits package:
- Health, dental, and vision care for you and your family (100% coverage for employee)
- Top-tier 401(K) plan with company matching
- Paid time off and paid holidays
- FSA, HSA and commuter benefits programs
- Team activity budget
CPRA Privacy Notice for California Candidates
See all 261+ STEM OPT Applied AI Engineer Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization as an Applied AI Engineer
Confirm your CIP code qualifies first
Check that your degree's Classification of Instructional Programs code appears on the USCIS STEM Designated Degree Program List before applying. Computer science, electrical engineering, and data science CIP codes typically qualify, but applied mathematics or interdisciplinary programs sometimes don't.
Verify E-Verify enrollment before accepting offers
Search the E-Verify employer search tool to confirm any company is actively enrolled, not just registered. Enrollment status can lapse, and accepting an offer from an unenrolled employer invalidates your STEM OPT extension before it begins.
Frame your I-983 training plan around AI deliverables
Work with your DSO to list specific model training tasks, ML pipeline responsibilities, and evaluation benchmarks in your I-983. Vague descriptions like 'software development' create compliance risk during ICE site visits; AI-specific objectives tied to your degree field do not.
Target teams with dedicated ML infrastructure budgets
Applied AI Engineer roles at companies without production ML systems often convert to generalist software roles over time, which can undermine the degree-field connection USCIS requires. Look for teams running inference at scale or maintaining model registries as a sign of genuine AI practice.
Use Migrate Mate to filter for E-Verify employers hiring OPT students
Migrate Mate lets you search Applied AI Engineer openings filtered to employers already enrolled in E-Verify and with documented OPT hiring history, cutting the manual verification step out of your job search entirely.
Start your H-1B cap-gap timeline from day one
If your STEM OPT end date falls after April 1, file your H-1B visa registration before your OPT expires. A timely-filed H-1B petition triggers cap-gap protection, letting you keep working under the same employer without a gap in authorization.
Frequently Asked Questions
Does an Applied AI Engineer role qualify for the STEM OPT extension?
Yes, if your underlying degree carries a qualifying CIP code. Computer science, electrical engineering, statistics, and data science programs typically appear on the USCIS STEM Designated Degree Program List. The role itself also needs to directly relate to that degree field, so a job focused on building, training, or deploying AI models fits cleanly. Confirm your specific CIP code with your DSO before filing.
What E-Verify steps does my employer need to complete for my STEM OPT?
Your employer must be actively enrolled in E-Verify before your STEM OPT extension start date. Enrollment alone isn't enough; the company must also sign the I-983 training plan with you and your DSO, report material changes to your role within five business days, and cooperate with any ICE site visit. You can confirm active enrollment status through the E-Verify employer search tool before signing an offer.
What goes into the I-983 training plan for an Applied AI Engineer?
The I-983 must describe specific learning objectives tied to your degree field, not just your job title. For an Applied AI Engineer, that means listing concrete deliverables: model architecture decisions, dataset pipeline ownership, evaluation framework development, or deployment responsibilities. Generic software tasks weaken the connection to your STEM degree and create compliance exposure. Your DSO reviews and co-signs the plan before ICE and SEVP receive it.
How does cap-gap protection work if my STEM OPT expires during H-1B processing?
Cap-gap automatically extends your work authorization if your employer files a timely H-1B petition before your OPT EAD expires. The extension runs through September 30 of the fiscal year the H-1B is filed for. You continue working for the same E-Verify employer under the same role without interruption. USCIS issues a cap-gap receipt notice confirming your continued authorization.
Where can I find Applied AI Engineer jobs with employers already enrolled in E-Verify?
Migrate Mate filters Applied AI Engineer listings to employers enrolled in E-Verify and with a history of hiring F-1 OPT students, so you're not manually cross-referencing the E-Verify employer search against job postings. You can also check DOL Labor Condition Application disclosure data to see which companies have filed for AI-related roles previously, which is a reliable signal that their HR teams understand OPT documentation requirements.