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Remote H1B Computer Science Jobs in Arizona (NOW HIRING)

USAA

Data Scientist Senior

Phoenix, AZ · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Bachelor's degree in Mathematics, Computer Science, Statistics, Economics, Finance, Actuarial ...

USAA

Data Scientist Senior

Phoenix, AZ · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Bachelor's degree in Mathematics, Computer Science, Statistics, Economics, Finance, Actuarial ...

Natera

Medical Science Liaison

Phoenix, AZ · Remote

$145K - $170K/yr

This is a remote, field-based position requiring daily use of a computer and the ability to travel ... scientists, business professionals, software engineers and many other professionals from world ...

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What is a Remote H1B Computer Science job?

A Remote H1B Computer Science job refers to a position in the field of computer science where the employee works remotely (often from home or another location outside the employer’s office) while being sponsored by a U.S. employer under the H1B visa program. The H1B visa allows U.S. companies to employ foreign workers in specialty occupations that require theoretical or technical expertise. In recent years, remote work has become more common for H1B holders, as long as the employer complies with Department of Labor and USCIS regulations, including updating the Labor Condition Application (LCA) if the work location changes. Remote H1B roles can include positions like software engineer, data analyst, or IT consultant.

What are the key skills and qualifications needed to thrive as a Remote H1B Computer Science professional, and why are they important?

To thrive as a Remote H1B Computer Science professional, you need a strong background in computer science fundamentals, programming languages (such as Python, Java, or C++), and often a relevant degree or equivalent experience. Familiarity with tools like Git, cloud platforms (AWS, Azure, or GCP), and development frameworks, along with knowledge of remote collaboration tools (e.g., Slack, Jira), is typically required. Excellent communication, time management, and problem-solving skills are vital for effectively collaborating across time zones and cultural backgrounds. These skills and qualities are crucial for delivering high-quality solutions, maintaining productivity, and integrating seamlessly with distributed teams.

What are some common challenges faced by Computer Science professionals working remotely on an H1B visa, and how can they be overcome?

Remote H1B Computer Science professionals often encounter challenges such as navigating time zone differences, maintaining effective communication with distributed teams, and ensuring compliance with visa-related work location requirements. To overcome these, it's crucial to establish clear communication channels, set regular check-ins with your team, and stay informed about any updates to H1B regulations regarding remote work. Utilizing collaboration tools and proactively engaging with managers can also help foster a sense of belonging and ensure that work is aligned with organizational goals.
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Remote H1B Computer Science jobs near you

ML Security Engineer

Bright Vision Technologies

Chandler, AZ • Remote

$150K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.
As we continue to grow, we’re looking for a skilled ML Security Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: ML Security Engineer
Location: 100% Remote (Continental United States)
Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor)
Experience: 6+ years
Salary - $100K – $150K
Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified candidates.
Employment Terms & Visa Policy
This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies.
This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved.
We do not engage in C2C, 1099, or third-party arrangements for this role.
BUT STRICTLY NO C2C/1099. All our roles are W2.
Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables.
No new H1B sponsorship is available for this role.
However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates.
For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience.
Job Summary
We are seeking an ML Security Engineer to lead the design and implementation of security controls, threat models, and incident response capabilities specifically tailored to AI and machine learning systems. The role addresses the unique security challenges posed by LLMs, model APIs, training data pipelines, and AI-powered applications, including prompt injection, model abuse, data exfiltration, and supply chain risks. The ideal candidate has strong security engineering fundamentals and a deep understanding of how modern AI systems work in practice, with hands-on experience designing defenses for both AI-powered applications and the AI infrastructure that supports them.
Key Responsibilities
  • Define and implement security controls specifically targeting LLM and AI-powered application risks.
  • Build threat models for AI systems, including prompt injection, jailbreaks, data exfiltration, and abuse patterns.
  • Design and deploy guardrails, content filters, and policy enforcement layers around model endpoints.
  • Implement runtime detection and response capabilities for adversarial prompts and abusive behavior.
  • Secure training and fine-tuning pipelines, including data provenance, integrity, and access controls.
  • Design controls for sensitive data handling, retention, and redaction in LLM workflows.
  • Lead red-team exercises against AI systems and drive remediation of identified weaknesses.
  • Evaluate and harden third-party AI services and open-source AI components used internally.
  • Implement identity, authorization, and tenant-isolation patterns for multi-tenant AI services.
  • Drive supply chain security for ML artifacts including weights, datasets, and inference dependencies.
  • Collaborate with privacy, legal, and compliance teams to ensure AI systems meet regulatory obligations.
  • Develop monitoring, logging, and detection strategies tailored to AI workloads.
  • Lead incident response for AI-specific security events and drive durable improvements.
  • Stay current with adversarial ML, LLM security research, and emerging regulatory developments.
Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a related discipline.
  • Six or more years of security engineering experience, including significant work on AI or ML systems.
  • Strong understanding of LLM internals, modern AI architectures, and common failure modes.
  • Hands-on experience designing security controls for AI-powered applications.
  • Deep knowledge of application security, identity, and cryptography fundamentals.
  • Experience with threat modeling and security architecture review processes.
  • Familiarity with adversarial ML, prompt injection, and model abuse research.
  • Proficiency in Python and at least one systems language.
  • Strong understanding of cloud security and modern infrastructure controls.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Publications, talks, or CTF participation in AI security topics.
  • Experience with red-teaming LLM-based products.
  • Familiarity with privacy-preserving ML techniques such as differential privacy.
  • Exposure to regulated industries with strict data handling requirements.
  • Open-source contributions to AI security tooling.
How to Apply
Would you like to know more about this opportunity?
For immediate consideration, please send your resume to jenny@bvteck.com or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com.
We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.
We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
Bright Vision Technologies is an Equal Opportunity Employer, including Disability/Veterans.
Position offered by “No Fee Agency.”
 

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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