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Alias Intelligence Jobs (NOW HIRING)

Sensor Tower

Full Stack Engineer

Denver, CO · On-site

Sensor Tower's digital intelligence platform provides unparalleled insight into market trends ... Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization ...

Sensor Tower

Full Stack Engineer

Culver City, CA · On-site

Sensor Tower's digital intelligence platform provides unparalleled insight into market trends ... Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization ...

Sensor Tower

Solutions Engineer

New York, NY · On-site

$100K - $120K/yr

Sensor Tower's digital intelligence platform provides unparalleled insight into market trends ... Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization ...

Zero21

Senior Backend Engineer

Philadelphia, PA · Remote

Please do not forward resumes to our jobs alias or our team members. Zero21 is not responsible for any fees related to unsolicited resumes. We may use artificial intelligence (AI) tools to support ...

Google

Technical Program Manager

Mountain View, CA · On-site

$152K - $197K/yr

Bachelor's degree in Computer Science, Computer Engineering, Artificial Intelligence, Machine ... Please do not forward resumes to our jobs alias, Google employees, or any other organization ...

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Alias Intelligence information

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$56.5K

$98.4K

$154.5K

How much do alias intelligence jobs pay per year?

As of Aug 8, 2026, the average yearly pay for alias intelligence in the United States is $98,359.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $115,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an alias intelligence professional?

To thrive as an Intelligence Analyst, you need strong analytical abilities, attention to detail, research skills, and typically a background in criminal justice, international relations, or a related field. Proficiency with data analysis tools, intelligence databases, and sometimes security clearance or certifications like CompTIA Security+ are commonly required. Strong communication, critical thinking, and discretion are essential soft skills for effectively interpreting and presenting sensitive information. These competencies are crucial for accurately assessing threats, supporting decision-making, and maintaining national or organizational security.

What are some common challenges faced by professionals in an alias intelligence role, and how can they be addressed?

Professionals in Alias Intelligence often encounter challenges related to data accuracy, managing large volumes of information, and staying ahead of evolving digital identities. Ensuring that alias data is both comprehensive and up-to-date can be demanding, especially when dealing with sophisticated threat actors. Collaborating closely with cybersecurity, legal, and compliance teams helps address these challenges, along with leveraging advanced analytics tools and ongoing training. Building strong communication channels within the team also contributes to more effective intelligence gathering and analysis.

What is Alias Intelligence?

Alias Intelligence typically refers to the practice of gathering, analyzing, and managing information about alternative identities or pseudonyms used by individuals or entities, particularly in cybersecurity, law enforcement, or intelligence contexts. Professionals in this field use specialized tools and investigative techniques to uncover hidden connections, prevent fraud, or support criminal investigations. Their work is critical in identifying threats, protecting sensitive information, and maintaining security in both digital and real-world environments.
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What cities are hiring for Alias Intelligence jobs? Cities with the most Alias Intelligence job openings:
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Alias Intelligence jobs near you
Infographic showing various Alias Intelligence job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $98,359 per year, or $47.3 per hour.

Research Engineer, Conversational Agentic AI, DeepMind

DeepMind

Mountain View, CA • On-site

Full-time

Posted 3 days ago

New

Job description

info_outline
X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.
Minimum qualifications:
  • Bachelor's degree in Computer Science, Machine Learning, Mathematics, Cognitive Science, or a related technical field, or equivalent practical experience.
  • 8 years of experience in data preparation, training, and evaluation of ML models.
  • Experience building or implementing AI/ML-driven features or infrastructure (e.g., working with Large Language Models (LLMs), NLP, or data pipelines).
  • Experience in Machine Learning, Artificial Intelligence, AI algorithms, and data analysis.

Preferred qualifications:
  • One or more publications in conferences or journals (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR).
  • Research background in NLP/Generative AI.

About the job
At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.
Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Partner with the Gemini or DeepMind teams to design, develop, and deploy novel multimodal conversational agents.
  • Develop audio-first models capable of orchestrating and planning complex dialogs, including leveraging external tools like search when necessary.
  • Leverage new sources of data (real and synthetic) to empower new real-time dialog capabilities.
  • Work with infra teams to design models suitable for streaming bi-directional dialog, so the user experience is always fluid and low-latency.
  • Prototype and evaluate new technologies.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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