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Remote Nvidia Machine Learning Jobs in Texas (NOW HIRING)

BNSF Railway

Sr/Staff Data Scientist (Remote - US)

TX · On-site +1

$165K - $300K/yr

REMOTE Anticipated Start Date: 07/01/2026 The US base salary range for this full-time position is ... Lead the development and deployment of advanced machine learning models to forecast outcomes and ...

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.

Inizio Partners

Data Scientist

Houston, TX · On-site +1

US Remote This resource will work specifically on anomaly detection within one of our plant ... Understanding of machine learning and deep learning models to select and implement for prediction ...

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 ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

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

Arva Intelligence

Modeling Scientist

Houston, TX · On-site +1

$100K - $160K/yr

Remote Base Salary Range : $100k - $160k base salary The Modeling Scientist is responsible for ... Working at the intersection of statistics, machine learning, and process-based ecosystem modeling ...

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All JobsNvidia Machine Learning JobsRemote Nvidia Machine Learning JobsRemote Nvidia Machine Learning Jobs in Texas

Remote Nvidia Machine Learning information

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 Texas? The most popular types of Nvidia Machine Learning jobs in Texas are:
What cities in Texas are hiring for Remote Nvidia Machine Learning jobs? Cities in Texas with the most Remote Nvidia Machine Learning job openings:
Remote Nvidia Machine Learning jobs near you
Staff Machine Learning Engineer (Active Secret Clearance)

Staff Machine Learning Engineer (Active Secret Clearance)

Striveworks

Austin, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Job description

Build, Deploy, and Maintain AI for an Unpredictable World
Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.
With Striveworks, organizations aren't just deploying AI-they're building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they're deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs-and enabling confident, data-driven decision-making in dynamic environments.
The Role
As a Staff Machine Learning Engineer at Striveworks, you will be challenged-and trusted-on day one to be both a core contributor and a customer-facing technical leader on the projects and direction of the company. In this mission-critical work, you will design AI-powered solutions, you will bring them into being-from data shaping and ingestion, through analytics, to end-user delivery-and you will inform future platform capabilities.
You're right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You are passionate about applying both software engineering and data science to solve real-world problems. You are comfortable simultaneously leading a team, executing directly on critical elements of the plan, and presenting vision and outcomes to your customer.
Your day-to-day will include:
  • Working with customers, engineers, and other stakeholders to define clear requirements that solve the customers' problems and leverage the capabilities of our AI operations platform.
  • Translating requirements into a technical approach, design, scoping estimate, and execution plan.
  • Leading execution teams to achieve on-time completion of project deliverables mapped to customer business value while making key individual contributions throughout the process.
  • Designing, orchestrating, and automating complex data pipelines and algorithms within modern architectures (cloud, event-driven, microservices, etc.).
  • Guiding the development of machine learning models and custom analytics applied to image, video, text, geospatial, time series, and structured data.
  • Raising insights, opportunities, challenges, and feedback in order to improve group-level practice, capture reusable functionality, expand company opportunities, and accelerate time to value.
  • Conducting mission-critical fieldwork and interfacing with customers and other stakeholders at their work sites.

This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. You will be expected to travel up to 20% of the time.
The Right Fit
In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust.
Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.
Here's what we're looking for:
  • Advanced degree in data science, machine learning, computer science, or a related discipline and 10+ years of relevant experience
  • Broad proficiency in programming languages common to machine learning (excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and scikit-learn) and systems programming (e.g., Go, Rust, C++, Java, Scala, etc.)
  • Proficiency in the design and delivery of algorithms, data structures, and production analytics and in the use of design patterns in cloud environments
  • Demonstrated experience defining, scoping, planning, and delivering complex technical solutions in production environments
  • Proficiency with modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.)
  • Demonstrated ability to lead, manage, and mentor small cross-functional teams that work across office, remote, and customer sites
  • Ability to communicate complex topics with professionalism, competence, and clarity to internal and external stakeholders (both technical and non-technical) via documents, presentations, and conversations
  • Active Secret (or above) US security clearance
  • Due to the nature of this role, candidates must have US citizenship
The Wish List
We're very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:
  • Experience with Kubernetes (k8s) and horizontally scaled architectures
  • Knowledge of messaging systems such as NATS, Kafka, RabbitMQ, or similar
  • Experience building AI agents and workflows
  • Experience with complex and varied data types, such as multi-spectral imagery, full motion video, acoustic or sonar signals, synthetic aperture radar, or hardware telemetry
  • Experience delivering technology solutions in secure government environments

The anticipated base pay range for this position is $210,000-$260,000/year. Striveworks' total compensation package includes a competitive base salary, equity grants, and cash bonuses.
The Benefits
  • Medical/dental/vision insurance
  • Voluntary life, long-term disability, accident, and hospital indemnity insurance
  • HSA and FSA (including dependent care FSA) plans
  • 401(k) plan
  • Unlimited PTO
  • Paid parental leave

Check us out on Built In!
Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.
If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.
In compliance with federal law, all persons hired will be required to verify their identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.
Striveworks is a participating employer in the E-Verify program.

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