... fully remote work environment, or you can work hybrid/on site at our office in northwest Austin ... libraries like TensorFlow, PyTorch, and/or scikit-learn * Exposure to DevOps tooling and best ...
... fully remote work environment, or you can work hybrid/on site at our office in northwest Austin ... libraries like TensorFlow, PyTorch, and/or scikit-learn * Exposure to DevOps tooling and best ...
Remote Tensorflow Developer information
See Austin, TX salary details
$16.92 - $22.74
8% of jobs
$22.74 - $28.57
3% of jobs
$28.57 - $34.40
6% of jobs
$40.02 is the 25th percentile. Wages below this are outliers.
$34.40 - $40.22
7% of jobs
$40.22 - $46.05
14% of jobs
$46.05 - $51.88
9% of jobs
The median wage is $52.50 / hr.
$51.88 - $57.70
15% of jobs
$62.39 is the 75th percentile. Wages above this are outliers.
$57.70 - $63.53
15% of jobs
$63.53 - $69.36
12% of jobs
$69.36 - $75.19
7% of jobs
$75.19 - $81.01
3% of jobs
$16
$52
$81
How much do remote tensorflow developer jobs pay per hour?
What is a Remote Tensorflow Developer job?
A Remote TensorFlow Developer job involves designing, implementing, and optimizing machine learning models using TensorFlow while working from a remote location. Developers in this role typically collaborate with data scientists, engineers, and product teams to build AI-driven applications and improve model performance. Responsibilities may include data preprocessing, model training, deployment, and fine-tuning for scalability and efficiency. Strong knowledge of deep learning, neural networks, and cloud platforms is often required.
What are the key skills and qualifications needed to thrive in the Remote Tensorflow Developer position, and why are they important?
To thrive as a Remote Tensorflow Developer, you need deep knowledge of machine learning concepts, strong proficiency in Python programming, and hands-on experience with Tensorflow framework. Experience with cloud platforms (such as AWS, GCP, or Azure), model deployment, and relevant Tensorflow Developer certification are highly valuable. Excellent problem-solving abilities, self-motivation, and effective remote communication skills help developers stand out. These qualities are crucial for building robust machine learning solutions, efficiently collaborating with distributed teams, and delivering high-impact results in a remote setting.
What are some typical challenges faced by Remote Tensorflow Developers, and how are these addressed?
Remote Tensorflow Developers often face challenges such as collaborating across different time zones, managing large datasets, and keeping up with rapidly changing machine learning technologies. These challenges are typically addressed through robust communication tools (like Slack or Zoom), using version control systems for code collaboration, and adopting efficient cloud-based workflows for data and model sharing. Teams may also conduct regular virtual stand-ups and knowledge-sharing sessions to stay aligned on projects and share learnings. Engaging in continuous learning and attending online workshops or conferences also helps remote developers stay updated and effective in their roles.

Full-time
Medical, Dental, Vision, Retirement, PTO
Posted 3 days ago
Job description
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 Senior Data Scientist at Striveworks, you'll be challenged-and trusted-on day one to be a core contributor to the projects, products, and direction of the company. You will be a key Striveworks representative and technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will work as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers to transform machine learning models into functional products.
You're right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You're outcome driven and are passionate about applying both software and data science to solve real-world problems. You know that being customer focused, rigorous in approach, clear in communication, and able to identify repeatable value opportunities are all critical to success. You are able to sense the needs of the customer, identify evolving demands, and then synthesize that feedback into actionable suggestions for Striveworks' product teams.
Your day-to-day will include:
- Working with customers, engineers, and other stakeholders to define clear requirements that solve customers' problems and leverage the capabilities of our AIOps platform
- Developing and validating machine learning models and custom analytic algorithms that are applied to image, video, text, geospatial, time series, and structured data
- Orchestrating and automating complex data and analytic pipelines
- Implementing AI-based software solutions for cloud and edge environments
- Conducting mission-critical field work and interfacing with customers and other stakeholders
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 25% 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:
- Bachelor's degree in computer science, machine learning, mathematics, or a related discipline and 6+ years of relevant experience
- Expertise in machine learning, data science, and their application to image and video data, as well as experience deploying those capabilities to production environments
- Expertise in implementing and analyzing algorithms and data structures
- Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
- Exposure to DevOps tooling and best practices (e.g., Git, Docker, Kubernetes, CI/CD)
- Active Secret (or above) US security clearance
- Due to the nature of this role, candidates must have US citizenship
We're very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:
- Graduate degree in computer science, machine learning, mathematics, or a related discipline
- Experience processing a variety of unstructured data types (e.g., imagery, full motion video, text, acoustic, sonar, RF, geospatial, graphs, or telemetry signals)
- Experience building AI agents and agentic workflows
- Experience implementing ETL pipelines, data pipelines, and/or workflow automation
- Experience developing solutions in a compiled programming language (Go, Rust, C++, Java, etc.)
- Experience building full-stack applications (back end, front end, REST) or solutions targeted for cloud infrastructure (AWS, Azure, GCP) and/or Kubernetes (K8s)
- Experience leading a small team
- Experience delivering technology solutions in secure government environments
- Experience working with federal, state, and/or local government customers
The anticipated base pay range for this position is $185,000-$230,000/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
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 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.
About Striveworks
Sourced by ZipRecruiter
Industry
Software development
Company size
51 - 200 Employees
Headquarters location
Austin, TX, US
Year founded
2018