Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
A 10-week summer internship at a quantitative investment firm where you design and evaluate machine learning systems for systematic investing — building scalable data pipelines and applying modern ML to large market datasets. Core stack includes Python, Rust, or C/C++ with PyTorch, TensorFlow, or JAX.
Application Deadline: 31st December 2026 We're looking for passionate researchers in the final years of their post-graduate studies to solve high-reaching, curiosity-driven projects that build the future of Apple…
What We Do Gecko Robotics is helping the world’s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure. Gecko's complete and connected solutions combine…
Требования: Docker ➡ Откликнуться
Wir suchen eine engagierte Praktikantin bzw. einen engagierten Praktikanten, um die Weiterentwicklung unserer Machine-Learning-Lösungen zur Zuverlässigkeit von Wärmepumpen zu unterstützen. Sie bauen auf den bereits…
We are looking for a motivated intern to help us continue developing our machine-learning solutions for heat pump reliability. You will build on what we've already started, work on improving our current models, and…
Research and develop ML models for financial markets, applying predictive modeling, NLP, and time-series analysis using Python/R/Matlab.
Research intern in Amsterdam and London building ML models to analyze market data and inform trading strategies for a global quantitative firm.
A 10-week paid summer internship (June–August 2027) in San Jose where the intern trains and evaluates ML models, diagnoses training failures, and works on LLM/generative AI research using PyTorch or TensorFlow, iterating quickly with Claude-assisted workflows. Open to Master's/PhD students entering their final year; on-site 5 days per week.
Location: Remote (United States) Work Model: Remote Industry: AI recruiting and talent marketplace (B2B SaaS) Compensation: $35–$50 per hour About the Company TalentPluto is a Y Combinator-backed startup building the…
As passionate about our people as we are about our mission. Why Join Q2? Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the…
Machine learning intern at StackAdapt, a programmatic advertising platform, designing real-time data pipelines for huge datasets, implementing ML algorithms in low-latency environments, and working on microservices that run training, inference, and monitoring for thousands of ML models.
### About Us We are building an AI program across our products, internal tools, and customer-facing workflows. The work includes AI agents, model routing, prompt evaluation, embeddings, retrieval, product copilots,…
Make My Health is hiring an AI/ML engineer intern to turn wearable and health-sensor data (Apple HealthKit, Google Fit, custom BLE devices) into models for posture detection, activity classification, and health-risk scoring. Day-to-day spans Python/PyTorch/TensorFlow work, time-series EDA, and building pipelines for on-device or cloud inference.
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like…
Co‑Op Student – Machine Learning & Applied AI Location: Hybrid – Minimum 3 days per week on‑site (Vernon Hills, IL) Duration: Co‑Op Term (6–8 months) January 2027 - August 2027 Department: Automation & Emerging…
2027 Guardian Summer Intern, Digital & Technology – AI & Machine Learning Our 2027 Summer Internship Program is a paid 10-week learning experience where you will be immersed in the daily environment of a…
Business Unit What the Role Entails Tencent is a world-leading internet and technology company that develops innovative products and services to improve the quality of life of people around the world. Founded in 1998…
Summer 2027 internship (June–August, 10 weeks) at Veeam's San Jose office, in-office 5 days a week. The intern trains, diagnoses, and evaluates ML and LLM models using PyTorch/TensorFlow, runs rapid experiments with AI-assisted tooling, and builds reusable research workflows. Open to Master's/PhD students entering their final year.
We couldn't check your fit for this role — add a CV to your profile to see it next time.