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Remote Java Machine Learning Jobs in Texas (NOW HIRING)

RealPage, Inc.

Data Scientist

Richardson, TX · Remote

$116K - $198K/yr

Responsibilities Machine Learning & Data Science * Develop, evaluate, and deploy predictive and ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

Xlysi

Job Purpose The Machine Learning Engineer designs, implements, configures, and maintains advanced analytics environments to solve complex business challenges. This role supports the development of ...

RealPage, Inc.

Data Scientist

Richardson, TX · Remote

$116K - $198K/yr

Machine Learning & Data Science * Develop, evaluate, and deploy predictive and generative models ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

RealPage, Inc.

Data Scientist

Richardson, TX · Remote

$116K - $198K/yr

Responsibilities Machine Learning & Data Science * Develop, evaluate, and deploy predictive and ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

Blue Cross of Idaho

AI Technical Lead

Meridian, TX · On-site +1

... remote within a mutually acceptable location. #LI-Hybrid Success Looks Like: * AI systems move ... Develop and deploy machine learning and generative AI solutions that support enterprise use cases.

NTT DATA Services

Senior AI/ML Engineer - Hybrid

Irving, TX · On-site +1

$87K - $151K/yr

... of advanced machine learning and generative AI solutions. In this role, you will work at the ... The starting pay range for this remote role is $87,120-$151,250. This range reflects the minimum ...

NTT DATA Services

Senior AI/ML Engineer - Hybrid

Irving, TX · On-site +1

$87K - $151K/yr

... of advanced machine learning and generative AI solutions. In this role, you will work at the ... The starting pay range for this remote role is $87,120-$151,250. This range reflects the minimum ...

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Remote Java Machine Learning information

How does a Remote Java Machine Learning Engineer typically collaborate with cross-functional teams given the distributed work environment?

As a Remote Java Machine Learning Engineer, you will regularly collaborate with data scientists, software engineers, and product managers through virtual meetings, shared project management tools, and code repositories. Clear communication and proactive documentation are essential to ensure alignment, especially when integrating machine learning models into Java-based applications. You may also participate in code reviews, sprint planning, and brainstorming sessions to refine features and troubleshoot issues. Building strong working relationships remotely often involves actively engaging in team channels and being responsive to feedback.

What are Remote Java Machine Learning jobs?

Remote Java Machine Learning jobs involve developing, deploying, and maintaining machine learning models and applications using the Java programming language, all while working from a remote location. Professionals in these roles typically build algorithms, process data, and integrate machine learning solutions into software systems. They collaborate with other developers and data scientists virtually, leveraging Java libraries such as Weka, Deeplearning4j, or MOA. These jobs are ideal for those who have strong Java skills and a background in machine learning, and who prefer the flexibility of working remotely.

What are the key skills and qualifications needed to thrive as a Remote Java Machine Learning Engineer, and why are they important?

To excel as a Remote Java Machine Learning Engineer, you need strong programming skills in Java, a solid understanding of machine learning algorithms, and typically a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or Weka), version control systems like Git, and cloud computing platforms is highly valued. Excellent problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These competencies are vital for building effective ML solutions, working independently, and ensuring seamless integration within distributed teams.
What are popular job titles related to Remote Java Machine Learning jobs in Texas? For Remote Java Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Java Machine Learning jobs in Texas look for? The top searched job categories for Remote Java Machine Learning jobs in Texas are:
What cities in Texas are hiring for Remote Java Machine Learning jobs? Cities in Texas with the most Remote Java Machine Learning job openings:
Remote Java Machine Learning jobs near you
Trust & Safety Engineer (GenAI) - Remote

Trust & Safety Engineer (GenAI) - Remote

micro1 AI

Houston, TX • Remote

$50 - $90/hr

Part-time

Posted 9 days ago

Job description

Role Title: AI Jailbreak & Prompt-Injection Security Expert


Role Type: Contractor


Location: Remote


micro1 is engaging AI Jailbreak & Prompt-Injection Security Experts to contribute to a cutting-edge customer initiative focused on AI safety and robustness. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Design and implement advanced methodologies for evaluating AI system safety, focusing on ethical jailbreaks, LLM red teaming, prompt injection, and tool-use abuse scenarios.
  2. Create comprehensive cross-domain elicitation strategies to uncover multi-turn and complex adversarial bypass patterns in AI models.
  3. Develop, maintain, and update regression test suites that systematically test for jailbreak susceptibility and prompt-injection vulnerabilities.
  4. Construct robust evaluation frameworks that stress-test AI models against real-world adversarial threats, aiming to enhance overall system robustness.
  5. Collaborate with technical stakeholders to translate security findings into actionable improvements for model safety and risk mitigation.
  6. Document methodologies, findings, and best practices in clear, well-structured written reports and presentations for both technical and non-technical audiences.


Preferred Qualifications

  1. 2+ years of expertise in adversarial machine learning, LLM red teaming, AI safety evaluation, or a closely related security domain
  2. Proven experience researching, testing, or uncovering vulnerabilities related to ethical jailbreaks, prompt injection, tool-use abuse, or adversarial AI attacks.
  3. Advanced degree (PhD, MS) in computer science, cybersecurity, machine learning, or a relevant discipline, or equivalent operational/professional background.
  4. High credibility and recognition within the AI security or adversarial ML community—such as published research, open-source tools, or conference presentations.
  5. Exceptional written and verbal communication skills, with a strong focus on clear documentation and collaborative problem-solving.
  6. Prior participation in multi-disciplinary projects or cross-functional AI safety initiatives is a plus.
  7. Familiarity with current LLM architectures, prompt engineering techniques, and security assessment tools is highly desirable.

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