2

Remote Nvidia Machine Learning Jobs in Austin, TX

We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research. Critical thinking and problem-solving skills are also required.

Core Requirements * 5+ years of experience sourcing AI , machine learning , LLM , research ... Ability to work independently in a remote, fast-paced environment. Other Traits * Naturally curious ...

AI Red Teamer

Austin, TX ยท On-site +1

Hands-on experience with adversarial machine learning techniques and tools (e.g., Foolbox ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

... Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline Must have * Understanding of various machine learning algorithms (e.g. SVM, Random Forests ...

next page

Showing results 1-20

Remote Nvidia Machine Learning information

See Austin, TX salary details

$25.3K

$42.2K

$87.2K

How much do remote nvidia machine learning jobs pay per year?

As of Jun 9, 2026, the average yearly pay for remote nvidia machine learning in Austin, TX is $42,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 per year, depending on experience, location, and employer.

What is the difference between Remote Nvidia Machine Learning vs Remote Data Scientist?

AspectRemote Nvidia Machine LearningRemote Data Scientist
Required CredentialsDeep learning, GPU programming, Nvidia certificationsStatistics, programming, data analysis
Work EnvironmentFocus on GPU-accelerated ML models, Nvidia toolsData analysis, modeling, visualization
Industry UsageAI, autonomous vehicles, gaming, HPCBusiness analytics, research, finance

Remote Nvidia Machine Learning specialists focus on developing GPU-accelerated AI models using Nvidia technologies, often requiring specific certifications and expertise in GPU programming. In contrast, Remote Data Scientists analyze data, build predictive models, and interpret results across various industries. While both roles involve data and programming skills, Nvidia Machine Learning roles are more specialized in GPU-based AI development, whereas Data Scientists have broader data analysis responsibilities.

What are the most commonly searched types of Nvidia Machine Learning jobs in Austin, TX? The most popular types of Nvidia Machine Learning jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Nvidia Machine Learning jobs? Cities near Austin, TX with the most Remote Nvidia Machine Learning job openings:
Entry Level Java/DevOps Developer - Remote/Machine Learning Engineer

Entry Level Java/DevOps Developer - Remote/Machine Learning Engineer

SynergisticIT

Austin, TX โ€ข On-site, Remote

Full-time

Posted 29 days ago


Job description

"Ghosted by companies and/or No/Failing Interviews? Lost in the Applicant Pile? Start getting offersโ€ - Get Hired with a Process which Works !

Many job seekers assume the tech market has shut down, but the truth is companies are still hiring โ€” they're just being more selective. Employers want candidates who demonstrate practical skills, confidence, and readiness. That means only the most prepared, polished, and employerโ€ready candidates get through.

Getting hired in tech isn't just about knowing how to code โ€” it's about proving you can deliver value from day one. If you're getting interviews but not offers, you're closer than you thinkโ€”yet that final gap can feel brutal. Many candidates spend months learning frameworks and finishing courses, only to freeze during technical screens, system questions, or behavioral rounds.

The result is painful: "almost hiredโ€ over and over again, while the confidence drops. The truth is that interviewing is its own skill, and Colleges don't teach it. They teach how to codeโ€”but not how to think out loud, structure answers, debug in real time, defend trade-offs, and communicate like an engineer.

Since 2010, SynergisticIT has helped candidates land full-time roles with many major employers. The best way to understand this: you can be smart and still fail interviews if you don't know what the interview is truly measuring. Interviews rarely test "can you write code at home.โ€ They test: Can you solve problems under constraints and time pressure?

Can you communicate your approach clearly? Can you handle edge cases and complexity? Can you explain trade-offs and design choices?

Can you show job-ready project depth, not just toy examples? SynergisticIT focuses on roles such as entry-level software programmers, Java full stack developers, Python/Java developers, Data Analysts, Data Engineers, Data Scientists, and Machine Learning Engineers. The focus areas include Java / Full Stack / DevOps and Data tracks like Data Engineering, Data Analytics/BI, ML/AI, because those are the roles employers continue to hire for.

If your pattern is "I reach interviews but don't clear them,โ€ you likely need three upgrades: Stronger project narratives (what you built, why it matters, how it works) Stronger technical foundations (DSA, OOP, APIs, SQL, pipeline design) Mock interview reps (realistic simulation, feedback, improvement loops) Many jobseekers underestimate how much hiring is about clarity. You don't need to be perfectโ€”you need to show you can think, collaborate, and deliver. That's why guided mock interviews and structured interview coaching can be a game-changer.

Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? Ideal candidates for this version include: Candidates who get interviews but repeatedly fall short Jobseekers stuck in "screen round limboโ€ Developers who panic during live coding Candidates who can build projects but struggle to explain them Professionals who haven't interviewed in years and feel rusty Career changers who fear "I'm behind CS gradsโ€ (often untrue with support) SynergisticIT provides support for candidates navigating STEM OPT extension, H1B filing, and Green Card processes (where applicable), which can matter when timing is critical. If you're tired of failing interviews and want a structured plan to convert interviews into offers, start here: Event videos (OCW, JavaOne, Gartner): USA Today feature Client JOPP: Job Placement Program Contact Us https://www.synergisticit.com/contact-us/ Because getting hired isn't about trying harderโ€”it's about preparing smarter, practicing correctly, and having the right guidance.

Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.