Top 13 Remote AI, ML Jobs to Apply in April 2026

We are looking for an experienced MLOps Engineer to join our team. In this role, you will be responsible for improving pipelines for training machine learning models, processing and checking data quality, testing models and ensuring their correctness, and building model monitoring systems. The ideal candidate should be intelligent, contemplative, and composed. They should not rush through tasks, instead diving deeply into the code and being attentive to details.

As Splitero’s Applied AI Engineer, you will own the identification, scoping, and delivery of AI-powered capabilities across our product and operations. You’ll sit within the engineering organization but operate cross-functionally, partnering with product, operations, and business teams to identify where AI creates real leverage, then build it.

We are seeking a highly skilled Senior AI/ML Engineer to drive the development of advanced inventory forecasting and decision systems. This is a senior, individual-contributor role with direct business impact, ideal for a self-directed engineer comfortable navigating ambiguity and building end-to-end ML solutions.

We’re looking for a Machine Learning Engineer focused on AI architecture research to help design, prototype, and validate next-generation model architectures. You’ll work at the intersection of research and production — turning new ideas into scalable, real-world systems.

We’re looking for a Machine Learning Engineer to own and push the limits of model inference performance at scale. You’ll work at the intersection of research and production—turning cutting-edge models into fast, reliable, and cost-efficient systems that serve real users.

We’re looking for a Machine Learning Engineer to own and scale our multilingual data pipeline—from sourcing and curation to evaluation and continuous improvement. You’ll work closely with researchers and infra engineers to ensure our models perform robustly across languages, scripts, and cultural contexts.

As a Machine Learning Engineer on the Ranking team, your primary focus will be to enhance the quality of our ranking systems, ensuring that search, browse, and autocomplete experiences are highly relevant, personalized, and diverse. You will work on building state-of-the-art ranking algorithms that improve user experience and drive critical business metrics such as conversion, user engagement, and revenue growth.

oin us as an AI Engineer (Image & Video Generation) and become part of a team building and scaling generative pipelines for next-generation visual content at Zeely. Zeely AI is a platform that uses artificial intelligence to generate viral UGC videos and ad banners, as well as launch effective ad campaigns on Facebook and Instagram, helping small businesses become visible and scale.

Join our AI team and build the intelligent systems at the core of Cosuno’s platform. uild and improve our agentic system that orchestrates multi-step reasoning to navigate the complex, often messy tendering workflow. Own features from model/agent through API to the TypeScript front-end — backend service, API, and the integration into the web app.

We are hiring an AI Engineer to build the AI and agent systems that run MDS. This is a pure individual contributor role focused on one thing: using Claude and modern agent tooling to replace manual work that currently depends on operator judgment.

As a Senior AI and Automations Engineer, you will be the primary builder on Pearl’s AI and Automation team. You will design, build, and ship the automation workflows and AI-powered tools that drive Pearl’s recruitment operations, from candidate pre-qualification pipelines to client-facing matching systems.

You’ll work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with a diverse solutions delivery team.

As a Senior Machine Learning Engineer on the AI Image Generation (Imagine) team, you’ll design, implement, fine tune, improve and debug the image AI models that power our lifelike AI bots. The Imagine Team at Cantina is responsible for all generative image and machine vision services.