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
SummaryDeepMind 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
Ui Ux Designer
Hardware Design And Verification
Hr Business Partner
Cybersecurity Engineering
Data Engineering And Infrastructure
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%)