Jobs of the Week
Dec 7–Dec 13, 2025
Standout AI/ML job openings published in the past week (Dec 7–Dec 13, 2025) highlight work on large language models, agentic systems, and production-grade ML platforms. These roles span big tech and remote-first companies, offering opportunities to shape foundational AI systems with real-world impact across consumer products, developer tools, and enterprise platforms.
Apple — Machine Learning Engineer, Large Language Models & Generative AI
Location: United States (Apple ML hubs)
Why it matters: This role sits within Apple’s Machine Learning & AI organization and focuses on building scalable LLM-powered systems, including generative and agentic architectures. The work blends deep ML engineering with inference, retrieval, and orchestration patterns that feed directly into next-generation Apple intelligence features.
Roboflow — Machine Learning Engineer, Deployments Team
Location: Remote (US; listed CA/NY remote)
Why it matters: This is a high-impact “make it real” ML engineering role: deploying computer vision models across cloud + edge environments, improving performance/reliability, and contributing to open source.
Reddit — Senior Staff Machine Learning Engineer
Location: Remote (United States)
Why it matters: Senior technical leadership in relevance-driven systems (search/recs/ML) with large-scale impact across Reddit’s core discovery surfaces—plus a very senior compensation band.
Patreon — Senior Machine Learning Engineer, Safety
Location: Remote (United States)
Why it matters: End-to-end ML applied to safety: exploratory analysis → model iteration → production deployment and observability-driven improvements, in a role that’s explicitly remote and safety-focused.
Kraken — Senior AI/ML Engineer
Location: Remote (United States)
Why it matters: Applied ML at scale in a high-stakes domain (fraud/compliance/fintech-ish problems), with strong infrastructure + platform signals and remote-first structure.
Nov 25-Dec 2
Standout AI/ML job openings published in the past week (Nov 25–Dec 2, 2025) offer high-impact work, from building large-scale personalization systems at Apple, to tuning foundation models at OpenAI, to applying generative AI in real-world healthcare and alert systems. All are either US-based or remote.
Apple — Machine Learning Engineer, Recommendations & Personalization
Location: Seattle, WA
Why it matters: You’d join Apple’s Services Engineering team powering major products (App Store, Apple Music, TV, etc.), designing high-performance ML pipelines for next-gen recommendations and personalization at scale.
Link: Apple — Machine Learning Engineer, Recommendations & Personalization (Feature Engineering)
OpenAI — Research Engineer / Scientist, Post-Training Team
Location: San Francisco, CA (hybrid)
Why it matters: You’ll contribute directly to refining pre-trained models for deployment (ChatGPT, OpenAI API, etc.), driving research efforts, building evaluation pipelines, and improving model performance for millions of users.
AKASA — Senior Machine Learning Researcher (Remote, US)
Location: Remote (US)
Why it matters: AKASA uses generative AI to transform healthcare revenue-cycle workflows. In this role you’ll lead applied LLM research, fine-tuning models for clinical language and collaborating with domain experts to drive real-world impact.
Dataminr — Senior Software Engineer, AI Research (Remote, US)
Location: Remote (listed New York; company indicates possible remote work)
Why it matters: Dataminr builds real-time alert systems powered by LLMs. This role focuses on building and optimizing LLMOps infrastructure, deploying large models at scale and turning research prototypes into production-ready systems.
Solventum — AI Scientist (Remote, US)
Location: Remote (listed Washington; remote-friendly)
Why it matters: Solventum works on AI-driven healthcare solutions. As an AI Scientist, you would build agentic and generative models for clinical data, adapt LLMs to regulated workflows, and lead technical efforts in applying ML to meaningful healthcare problems.