Updated Jan 21, 2026 using last 90 days postings.

DeepMind Hiring Trends – January 2026

DeepMind is scaling its efforts around the development and enhancement of its Gemini AI product suite, particularly focusing on coding capabilities and user interaction quality. The company is heavily investing in machine learning engineering, AI product design, and UX development, with teams concentrated in California and other US hubs, as well as the UK. Their hiring emphasizes strategic program management, cross-functional collaboration between engineering, product, and UX teams, and refining AI-driven user experiences across desktop and mobile platforms without offering remote work options.

Note: These dashboards are not the source of truth. Job posting data can include duplicates and may double count roles. Treat the results as a sample that helps explain what the postings suggest about hiring focus. Summaries are generated with an LLM and may contain errors or omissions. For the most accurate and complete information, research the company directly.

Tracked openings

64

Remote share

0%

Top location

CA, US

Top category

Machine Learning And Ai Engineering

Inside The Product

Summary

DeepMind is staffing broadly to develop, productize, and scale Gemini-era AI products—covering model capabilities, user-facing assistants, and platform-quality systems. Hiring spans product design, engineering, infrastructure, hardware, security, and people operations to ship reliable, safe, and usable generative-AI experiences.

What They Build

  • LLM product development (Gemini): coding capabilities, assistant features, app response quality
  • AI-driven user experiences: conversational and multi-platform interaction design and prototyping
  • Quality, safety, and evaluation: response quality pipelines and safety-sensitive frameworks
  • Infrastructure and systems: data engineering, hardware design/verification, and cybersecurity to run and protect AI services
  • People and operations: HR, talent acquisition, and program/process scaling to support rapid growth

Customers & Users

  • End users of Gemini-powered consumer and productivity applications across web, desktop, and mobile platforms
  • Internal cross-functional stakeholders (Product, Engineering, Research, UX, Trust & Safety) who consume model capabilities and tooling
  • Regional employees and leaders supported by People & Culture and P&C partners

Workflows & Systems

  • Cross-functional collaboration between PMs, engineers, UX researchers, data scientists, and trust & safety to define and ship features
  • Strategic program management: scoping undefined technical programs, building governance, and balancing near-term deliverables with long-term model goals
  • Iterative, user-centered design cycles: rapid prototyping, user research, behavioral-data-informed design and validation
  • Quality and safety workflows: engineering-owned response quality efforts, model evaluation, and safety framework development
  • Operational scaling: architecting repeatable UX ops, talent acquisition strategies, and localized HR processes/compliance

Role Insights

Machine Learning And AI Engineering

Building and integrating LLM capabilities (Gemini) with a focus on coding, evaluation, and delivery into user-facing products.

Ui Ux Designer

Designing conversational and AI-driven interfaces across platforms, leading ideation-to-shippable workflows and data-informed interaction design.

Hardware Design And Verification

Expanding hardware design and verification expertise to support AI system performance and deployment (hiring signal from tracked roles).

Hr Business Partner

Scaling people operations and regional HR delivery—organization design, leadership coaching, compliance, and data-driven people programs.

Cybersecurity Engineering

Hiring cybersecurity engineers to secure AI services and underlying infrastructure (role category present among openings).

Data Engineering And Infrastructure

Building data pipelines, evaluation tooling, and infra to support model training, evaluation, and product quality efforts.

Talent Acquisition And Recruitment

Ramping hiring in North America with dedicated TA partners and market-specific hiring processes to meet technical hiring demand.

Engineering Management / Program Management

Leading complex, undefined technical programs for model and feature roadmaps, establishing governance and cross-org alignment.

Software Engineering Leadership

Owning end-to-end response quality and safety integrations for Gemini apps, acting as primary engineering point-of-contact for quality initiatives.

Team Focus

  • Machine Learning And Ai Engineering: 16 roles (25.0%)
  • Ui Ux Designer: 11 roles (17.2%)
  • Hardware Design And Verification: 6 roles (9.4%)
  • Hr Business Partner: 4 roles (6.2%)
  • Cybersecurity Engineering: 4 roles (6.2%)
  • Data Engineering And Infrastructure: 4 roles (6.2%)
  • Product Management: 3 roles (4.7%)
  • Talent Acquisition And Recruitment: 2 roles (3.1%)

Skill Stack

Machine Learning And AI Engineering

Large Language Models Reinforcement Learning Model Training Reward Modeling Deep Learning Frameworks Python C++ Data Pipelines Model Evaluation Production Deployment

Ui Ux Designer

User-Centered Design Interaction Design Visual Design Prototyping Front-End Development AI-Driven Interfaces Design Tools Cross-Functional Collaboration Motion Design Accessibility

Hardware Design And Verification

ASIC Design RTL Design Physical Design Low-Power Design Design Verification Chip Architecture SoC Integration Hardware for ML Accelerators EDA Tools Silicon Tape-Out

Hr Business Partner

Employee Experience Employment Law Organizational Development Talent Management Change Management Data-Driven HR Training Program Design Operational Excellence Leadership Coaching Cross-Functional Partnership

Cybersecurity Engineering

Security Program Management Risk Management AI Security Contextual Security Prompt Injection Privacy Security Standards Vulnerability Discovery Team Leadership Research to Production

Data Engineering And Infrastructure

Data Strategy Team Leadership Knowledge Graphs Data Governance AI-Ready Architectures Data Pipeline Development Financial Modeling Technical Roadmap Cross-Functional Communication Agentic Systems

Location Footprint

  • CA, US: 38 roles (59.4%)
  • United Kingdom: 13 roles (20.3%)
  • NY, US: 6 roles (9.4%)
  • Switzerland: 5 roles (7.8%)
  • India: 1 roles (1.6%)
  • WA, US: 1 roles (1.6%)

Seniority Mix

  • Mid: 46 roles (71.9%)
  • Senior: 18 roles (28.1%)

Role Types

  • full_time: 64 roles (100.0%)

Hiring Cadence