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.
Roles &Responsibilities Own data analysis and strategy optimization for the overseas ad network, leveraging advertiser and industry insights to drive improvements in ROAS, LTV, and scalability; Work closely with…
We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients. At CIBC, we embrace your strengths and your…
At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total…
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves,…
Builds full-stack web apps and backend services to digitize battery manufacturing and energy systems, using Python, React, TypeScript, and cloud platforms.
18-month contract role (hybrid, onsite Mon-Thu) for a Senior ML Engineer who designs, tunes, and deploys content classification models (multi-class/multi-label) for media content, working with Python, pandas, scikit-learn, SQL, and Spark. Pay up to $103.50/hr on W2; open in Santa Monica, CA and Seattle, WA.
Product Manager on YouTube Search, defining roadmaps and product vision to improve how users find and discover video content, using AI and LLMs to enhance search quality and recommendations. Requires 5 years in product management plus experience with search/ranking systems and generative AI.
Staff ML Engineer / Technical Lead on Pinterest's User and Content Foundations org, setting technical direction for foundational content-understanding systems. Day to day: leading research-to-production ML efforts across visual representation learning, VLMs, LLMs, sequence modeling, and large-scale distributed training that power relevance, personalization, search, and ads.
Pinterest is hiring an Engineering Manager to lead the Content Foundation ML team, which builds content understanding systems (LLM/VLM-based semantic signals, data infrastructure) that power Discovery, Search, Growth, and Ads. The role is people leadership, technical vision-setting, and roadmap execution for large-scale ML training and inference.
Senior Data Engineer at ASOS (online fashion retailer) building scalable data pipelines and data/ML products on Python, Spark, Databricks and Azure that power customer, marketing and commercial use cases, while driving data quality, architecture best practices and mentoring across the team.
Deliver data science and ML solutions for clients across telecom, media, and tech sectors, using Python, GenAI frameworks (LangChain, LlamaIndex, RAG), ML libraries (PyTorch, scikit-learn), cloud platforms (AWS, Azure), and MLOps practices with a team management component.
Oura Health is hiring a Senior Data Scientist for Marketing to build models, experiments, and AI-enabled decision systems that optimize marketing spend, channel measurement, and revenue forecasting. Core stack: SQL/dbt, Python, and cloud data platforms like Databricks, AWS, and Snowflake.
Senior backend engineer at Jumpspeak, a language-learning app, building and scaling Golang systems for AI conversations, speech processing, lesson content pipelines, and subscriptions. Core work spans LLM/speech API integrations, data architecture, and reliability on PostgreSQL, Redis, message queues, and cloud infrastructure.
Jumpspeak is hiring a Senior Golang Backend Engineer in New York to build and scale the backend for its AI-powered language learning app — including AI conversations, speech processing, content ingestion pipelines, and data architecture serving millions of learners. Core stack: Go, PostgreSQL/Redis, cloud, Docker, and LLM/speech APIs.
Senior data scientist on Target's Data Sciences team building and deploying ML models for 1:1 personalization across marketing and digital channels — recommendation, ranking, and propensity models plus A/B testing and causal inference. Stack includes Python, SQL, TensorFlow/PyTorch, and large-scale platforms like GCP Vertex AI, Spark, Databricks, and Snowflake.
Designs, builds, and optimizes the recommendation systems behind Fortnite's Discover experience, working across retrieval, ranking, and real-time reranking for a massive, fast-changing catalog of creator content. Core stack includes PyTorch/TorchRec, Transformers, Ray, Databricks, Spark, and AWS.
Senior ML engineer who designs, builds, and optimizes the recommendation systems powering Fortnite's Discover experience — retrieval, ranking, and reranking models over a fast-changing creator-content catalog, using PyTorch (TorchRec, Transformers), Ray, Databricks, and AWS, with A/B experimentation and ML serving infrastructure. Based in Cary, NC.
Principal-level architect to design and lead a next-generation conversational AI platform that replaces travel search with intelligent dialogue — orchestrating LLMs, agents, RAG, and real-time third-party APIs (hotels, airlines, ticketing) into conversational recommendations. Defines LLM/retrieval strategy, mentors senior engineers; Austin-based with some travel.
Engineering Manager leading the team behind Cadence's Clinical Intelligence platform — AI-driven medication recommendations and clinician decision support for chronic care. Day to day: hiring and mentoring AI/backend/full-stack engineers, setting architecture and reliability standards, and shipping Go backend and LLM-powered services on AWS/GCP.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
