Model architectures jobs

Staff Engineer, Hivemind Reasoning

f7d8749a-72d6-407c-bf98-292ea630c73a · Posted Oct 19, 2026

Open

San Mateo, California, United States
Full-time · Senior
7+ years

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Staff Engineer, Hivemind Reasoning

f7d8749a-72d6-407c-bf98-292ea630c73a · Posted Oct 19, 2026

Open

San Mateo, California, United States
Full-time · Senior
7+ years

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Senior Manager, Engineering - Hivemind Reasoning

f7d8749a-72d6-407c-bf98-292ea630c73a · Posted Oct 19, 2026

Open

San Mateo, California, United States
Full-time · Manager
8+ years

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Compensation

Pay within range listed + Bonus + Benefits + Equity

Responsibilities

Build & lead the team that designs, trains, adapts, and evaluates reasoning and cognition models intended for deployment across unmanned platforms
Define the technical roadmap for single-agent and multi-agent models, including architecture choices, training methods, data strategy, and evaluation criteria
Advance model capabilities for interpreting context, reasoning over time, coordinating among agents, and adapting to incomplete or changing information
Drive training efforts, including self-supervised learning, imitation learning, reinforcement learning, and distillation
Establish rigorous evaluations in simulation and with real-world data

Requirements

Bachelor's degree
Master's degree
PhD
Nice to have: PhD in Computer Science or related field
Nice to have: optimizing and deploying ML models to resource-constrained hardware

Skills

foundation models deep learning model architectures

AI Inference Engineer QVAC (100% remote Worldwide)

Tether Operations Limited · Posted Nov 9, 2026

Open

Remote
Remote

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Own the inference backbone behind QVAC's local AI stack, engineering quality at runtime level for on-device AI experiences.

Responsibilities

Work on deploying machine learning models to edge devices using frameworks such as llama.cpp and ggml
Collaborate closely with researchers to assist in coding, training and transitioning models from research to production environments
Integrate AI features into existing products, enriching them with the latest advancements in machine learning

Requirements

A degree in Computer Science, AI, Machine Learning, or a related field
Nice to have: train/fine-tune a LLM
Nice to have: productionize models
Nice to have: research experience in new model architectures
Nice to have: experience with distributed systems

Skills

C++llama.cpp ggml GPU frameworks such as CUDA, Vulkan, Metal, OpenCL deep learning concepts model architectures

AI Technical Product Manager

Harvard University · Posted Nov 6, 2026

Open

Boston, Massachusetts, United States
Hybrid
Full-time · Manager
5+ years

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The AI Technical Product Manager bridges the gap between artificial intelligence capabilities and real-world product applications, combining deep technical understanding with strategic product understanding to build AI-powered solutions that deliver measurable value.

Compensation

This position is salary grade level 058. Please visit Harvard's Salary Ranges to view the corresponding salary range and related information.

Responsibilities

Balance innovation with practical implementation, assessing technical feasibility and business impact
Establish success metrics and KPIs for AI product initiatives
Collaborate with data scientists, ML engineers, and software developers to translate business requirements into technical specifications
Understand AI/ML fundamentals including model architectures, training processes, evaluation metrics, and deployment considerations
Make informed decisions about model selection, data requirements, and infrastructure needs

Requirements

Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field
Master's preferred
Nice to have: generative AI
Nice to have: NLP
Nice to have: computer vision

Skills

product management AI/ML product experience