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.
Senior IC product role owning the buyer experience across G2's B2B software marketplace (G2.com, Capterra, Software Advice, GetApp): setting strategy and roadmap, shipping in AI-enabled squads, running experimentation, and mentoring PMs, with a GM mindset to turn anonymous traffic into known, returning buyers.
Data Scientist building next-generation recommendation systems for impact.com's partnership marketing platform, working across advertisers, publishers, creators, products, and consumers using graph-based ML, semantic embeddings, and batch/real-time serving. End-to-end ownership from modeling to production with Python, SQL, Spark, and heavy use of AI coding agents.
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At…
AI Engineer on Topsort's T-Brain team building the ML models behind its commerce advertising platform. Day to day: design, train, and deploy models for predictions and recommendations, run A/B tests, and ship production ML on cloud infrastructure with Python, SQL, and AWS/GCP/Azure.
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.
Designs and builds exabyte-scale storage systems (object, key/value, caching, vector) for AI infrastructure serving 600M+ users, using C++, Rust, or JVM languages.
Builds and optimizes AI-powered recommendation systems for a platform used by 600M monthly users, focusing on ranking algorithms, search, and scalable ML pipelines.
Lead product strategy and execution for Viber’s dating feature, shaping roadmap, discovery, data‑driven decisions and monetization while collaborating with design, engineering, analytics and trust teams on a large‑scale B2C mobile app.
Senior AI Engineer at Doctolib in Paris on the Patient team, designing the search and recommendation engines for the patient-facing health platform (100M users in Europe). Day to day: owning end-to-end retrieval, ranking, and reranking pipelines using vector search, RAG, and LLM/managed rerankers on AWS, with offline/online evaluation and low-latency production quality.
Senior Data Engineer in Mumbai building and maintaining scalable ETL pipelines and data warehouses/lakes for retail data (sales, inventory, customer behavior), integrating POS, ERP, and CRM systems. Core stack includes SQL, Python/Scala, AWS/Azure/GCP, Snowflake/Redshift/BigQuery, Airflow, and Kafka/Spark Streaming.
Backend engineer on New Relic's Personalization team, building Java/Spring microservices and Kafka streaming pipelines on AWS that turn user behavior data into segments and models powering personalized and agentic experiences. Involves designing APIs, operating services with on-call, and actively using AI coding assistants.
Leads DoorDash's Personalization engineering team, managing ML engineers to build ranking and recommendation systems—including an intent agent, semantic understanding, multi-vertical blending, and real-time ranking—using LLMs and deep learning (GNN, MTL, Transformers). Onsite leadership role in San Francisco or Sunnyvale.
Program manager for Stripe's marketing technology stack: leads 1-2 cross-functional initiatives at a time (digital campaign effectiveness, measurement, ABM, online events), partnering with product, engineering, and marketing teams while driving process automation, third-party tool adoption, and AI-powered workflows.
Stripe is hiring a Machine Learning Engineer for its Growth Platform team in San Francisco to build and operate production ML systems that recommend Stripe products to businesses — spanning recommendation/ranking models, contextual bandits, and agent-based recommendations. Core stack includes Python, ML frameworks like PyTorch, SQL/Spark data pipelines, and online experimentation.
Builds and scales Python-based backend systems using Flask, FastAPI, and microservices on GCP, focusing on clean code, performance, and algorithmic optimization.
Technical leadership role at sports-media tech firm Deltatre: lead a distributed data services team running large-scale Java/AWS pipelines (S3, EMR, Kinesis) and content recommendations, owning SLOs, incident response, cloud costs, and GDPR-compliant tenant data governance. Set direction and review designs rather than code daily; must be based in Italy.
Job Responsibilities and Requirements: Lead the design, development, and production deployment of AI/ML solutions across Machine Learning, GenAI, Agentic AI, and analytics use cases. Build scalable ML and GenAI systems…
Metyis is growing! We are looking for a Data Engineering Lead with 5-8 years of experience to join our global Data and Analytics team at our Digital Campus in Porto. Who we are Metyis is a global and forward-thinking…
The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. Metyis is a global and forward-thinking firm operating across a wide range of…
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at…
We couldn't check your fit for this role — add a CV to your profile to see it next time.
