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A platform engineering role focused on the infrastructure that underpins AI/ML systems for organizations that want to keep ownership of their models, data, and results. The work c…
An AI-focused engineering team is hiring an ML Platform Engineer to build and operate the infrastructure behind its AI capabilities. The role spans model training, evaluation, dep…
Staff ML Platform Engineer role on a team that builds the paved road for moving machine learning models from notebook to production in a regulated health-data environment. The pos…
An Associate Director-level MLOps leadership role overseeing the infrastructure that bridges machine learning research and large-scale production within an AI-powered pathology pl…
Build and operate the internal machine learning platform that powers AI products across a large health technology organization serving post-acute and long-term care providers. The…
Serve as a principal engineer shaping the architecture and direction of an enterprise AI-powered process automation platform. The role combines deep hands-on engineering with cros…
This role sits on an MLOps framework and model conversion team that takes machine learning models from research into production on edge hardware for an autonomous driving program.…
This senior MLOps role focuses on building the production backbone for AI systems on Google Cloud. The engineer will architect infrastructure, pipelines and tooling that take mode…
Lead engagements focused on the infrastructure that enables reliable production AI. The work spans the systems needed to run models efficiently, observe their behavior, and suppor…
Provide principal-level technical leadership for an AI platform that connects engineering teams and client workloads with multiple large-language-model providers. The work spans g…
A small, research-driven engineering team building automation for printed circuit board design is hiring a senior or staff-level engineer to own the machine learning systems infra…
We are hiring a Senior MLOps Engineer to industrialize the full machine-learning lifecycle for a risk management group that builds and serves scoring models, including neural-netw…
Data and ML Infrastructure Engineer responsible for building the pipelines and tooling that turn large volumes of operational data into ML-ready datasets for an autonomy and robot…
This technical leadership role focuses on designing and implementing production-grade MLOps infrastructure for life sciences AI workloads. The position owns end-to-end ML pipeline…
This is a staff-level engineering role responsible for the infrastructure that produces, stores, and serves machine-learning embeddings at production scale. The position sits at t…
This is a senior engineering role focused on the infrastructure that produces, stores, and serves machine-learning embeddings for downstream personalization and retrieval systems.…
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Hidden Jobs turns the jobs board into an application workflow: define what you want, upload your CV, review matched roles, then choose whether to apply manually or let the AI job application service handle selected submissions.
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API + MCP
Search remote tech jobs from your own product or agent with the REST API, or connect an MCP-compatible client to bring job discovery into your AI workflow.
Questions
Clear answers about the remote job board, direct apply links, and the AI-assisted application service.
Hidden Jobs is a remote tech job board and application workflow for finding roles that are often missed on larger job platforms.
You choose your target roles, upload your CV, and keep control of your settings. The AI application service can then submit selected matching roles based on your preferences.
Yes. You set the categories and role preferences used for matching, and you can pause or adjust the application service from your dashboard.
A CV is required for the AI application service because it helps match your experience to relevant roles and gives applications the right context.
Yes. You can open the original application links yourself with an active Hidden Jobs Access subscription, or use the AI-assisted application service.
Full job details are public. Hidden Jobs Access unlocks original application links and adds instant alerts, premium filters, CV matching, tracking, and AI-assisted applications.
Applications are submitted using your CV and selected role settings. Hidden Jobs focuses on targeted submissions, not mass generic outreach.
Hidden Jobs focuses on remote tech roles across software engineering, AI, data, design, DevOps, product, support, and related categories.
Every affiliate gets a unique referral link and a discount code for followers to use at checkout. The first valid referral is kept on the subscriber account. You earn 50% of list price on confirmed recurring payments; Hidden Jobs funds the discount, and your dashboard shows referrals, payments, earnings, and payout history.
No. Free trials, failed payments, and pending payments do not generate commission. Earnings begin when Stripe confirms a paid recurring invoice, while the Lifetime plan is a one-time purchase.
Yes. Use the REST API to search remote tech jobs from your own product or workflow, or connect an MCP-compatible AI client to search jobs and read details with a Hidden Jobs API key.
Yes, through the dedicated application-link endpoint or MCP tool when the API key has the required scope and its owner has an active Hidden Jobs Access subscription. Search and job-detail responses never expose the original URL.
No. API and MCP support job discovery, job details, and protected original application links. They do not include an auto-apply tool.
