Machine Learning systems jobs

AI Systems Design Architect - Assistant Vice President

State Street · Posted Nov 9, 2026

Open

Quincy, Massachusetts, United States
$90K–$158K per year
8–14 years

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AI Systems Design Architect - Assistant Vice President

State Street · Posted Nov 9, 2026

Open

Quincy, Massachusetts, United States
$90K–$158K per year
8–14 years

Apply with Referso

Staff AI Scientist

Uniphore · Posted Sep 14, 2026

Open

Palo Alto, California, United States
On-site
Full-time · Staff
$193K–$241K per year
5+ years

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Developing new foundational machine learning technology behind a category-defining Business AI product, focusing on AI agent optimization, training of small and efficient foundation models, human-AI interaction, and agentic evaluation.

Compensation

$192,500 - $240,600

Responsibilities

Design and implement AI systems capable of handling complex workflows, including multi-step reasoning, planning, and decision making.
Explore and apply various orchestration patterns and architectures to solve business problems effectively.
Translate abstract requirements into reliable AI behaviors under real operational constraints such as latency, cost, and safety.
Lead systematic experimentation across prompts, agents, model variants, and tool configurations.
Define and implement evaluation strategies for agentic systems, including task success, robustness, failure recovery, and hallucination analysis.

Requirements

MS or PhD in Computer Science, Machine Learning, Operations Research, Statistics, or related fields
Nice to have: Model training
Nice to have: Autonomous agentic systems
Nice to have: Agentic workflows
Nice to have: Rigorous evaluation of agentic systems

Skills

Machine Learning systems

Member of the Technical Staff

Norm · Posted Nov 5, 2026

Open

New York City, New York, United States
Hybrid
Full-time · Senior
$250K–$400K per year

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A technical role focused on building and advancing AI-native agentic harnesses, multi-agent workflows, and learning systems for professional services and legal firm platforms.

Compensation

Base salary: $250,000 to $400,000 per year

Responsibilities

Advance our multiplayer agentic harness so humans, agents, firm systems, and clients can collaborate on shared work with the right context, permissions, and accountability.
Design multi-agent workflows using orchestration and actor models so agents can divide work, coordinate with people and other agents, and recover when plans change.
Build shared task and state management so work moves reliably between agents, attorneys, clients, and firm systems without losing context or ownership.
Make agents more effective across software through computer use and deep integrations with the systems a professional services firm depends on.
Turn expert interactions into learning signals by capturing how people delegate, correct, and review work, along with the context behind their decisions.

Requirements

Nice to have: Hands-on experience with AI tools
Nice to have: AI research experience

Skills

AI fluency Multi-agent workflows

Sr/Principal Product Manager, Marketplace Discovery and Recommendations

Roblox · Posted Nov 5, 2026

Open

San Mateo, California, United States
On-site
Full-time · Senior
$331K–$383K per year
5–10 years

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Lead product management for Roblox Marketplace discovery and recommendation features, owning personalization, UX, and ML systems.

Compensation

$330,950—$383,120 USD

Responsibilities

Design and own the marketplace homepage and recommendation engine
Build and iterate on personalization systems using ML and LLMs
Partner with engineers, designers, data scientists to create roadmaps
Balance marketplace objectives for consumers and creators
Champion Marketplace and Economy across the company

Skills

Product Management Machine Learning Systems Personalization Data Science Design Engineering Analytics Business Development Communications

AI Search Engineering Analyst, Safety Risk and Platform

Google · Posted Nov 5, 2026

Open

Mountain View, California, United States
On-site
$132K–$189K per year
2+ years

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Investigate and analyze complex patterns of abuse on Google Search, utilizing data-driven insights to develop countermeasures and enhance platform security.

Compensation

US: $132000 - $189000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Investigate and analyze complex patterns of abuse on Google Search, utilizing data-driven insights to develop countermeasures and enhance platform security.
Analyze large datasets to identify trends, patterns, and anomalies that may indicate abuse or quality issues within Google Search.
Translate complex technical analyses into insights for both technical and non-technical stakeholders.
Produce intelligence reports on emerging attack vectors, system vulnerabilities, and adversary tactics specifically aiming Large Language Models (LLMs) architectures.
Improve tools and automated systems through data analysis, technical expertise, and present to stakeholders. Analyze and solve complex problems using data and statistical methods.

Requirements

Bachelor's degree in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Mathematics, or Engineering)
Nice to have: Master's degree in a quantitative field
Nice to have: threat intelligence
Nice to have: data science
Nice to have: trust and safety

Skills

Member of Technical Staff, Security Engineer

Mirendil · Posted Nov 5, 2026

Open

San Francisco, California, United States
$300K–$400K per year

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Security Engineer focused on protecting cloud infrastructure, ML systems, and product surfaces in a frontier AI research company.

Compensation

We offer a base salary of $300,000–$400,000 USD and a meaningful equity grant, depending on experience and background, along with competitive benefits.

Responsibilities

Design and implement measures to protect against external threats
Design and implement protective measures around data transfer, external attacks, secret management, identity verification
Architect systems that protect sensitive assets including model weights, customer data, and training datasets
Build secure sandboxed execution environments for AI-generated code and agentic workflows
Develop frameworks for safely handling AI agent interactions with external systems and tools

Skills

Security engineering Cloud infrastructure Machine learning systems Product security Threat protection Secret management

AI Systems Design Architect - Assistant Vice President

AI Systems Design Architect - Assistant Vice President

Compensation

Responsibilities

Requirements

Skills

Benefits

Staff AI Scientist

Compensation

Responsibilities

Requirements

Skills

Member of the Technical Staff

Compensation

Responsibilities

Requirements

Skills

Sr/Principal Product Manager, Marketplace Discovery and Recommendations

Compensation

Responsibilities

Skills

AI Search Engineering Analyst, Safety Risk and Platform

Compensation

Responsibilities

Requirements

Skills

Member of Technical Staff, Security Engineer

Compensation

Responsibilities

Skills

Benefits

Benefits

Benefits

Benefits