Experience : * 4+ years of professional experience in machine learning, with a focus on ... Remote work location. * Competitive salary. * Flexible work schedule. * Opportunities for ...
Experience : * 4+ years of professional experience in machine learning, with a focus on ... Remote work location. * Competitive salary. * Flexible work schedule. * Opportunities for ...
Remote Machine Learning information
See Cookeville, TN salary details
$21.8K - $26.6K
5% of jobs
$28.3K is the 25th percentile. Wages below this are outliers.
$26.6K - $31.5K
59% of jobs
$31.5K - $36.3K
9% of jobs
$36.7K is the 75th percentile. Wages above this are outliers.
$36.3K - $41.2K
17% of jobs
$41.2K - $46.1K
4% of jobs
$46.1K - $50.9K
2% of jobs
$50.9K - $55.8K
3% of jobs
$55.8K - $60.6K
0% of jobs
$60.6K - $65.5K
0% of jobs
$65.5K - $70.3K
0% of jobs
$70.3K - $75.2K
0% of jobs
$21.8K
$36.4K
$75.2K
How much do remote machine learning jobs pay per year?
As of Aug 13, 2026, the average yearly pay for remote machine learning in Cookeville, TN is $36,377.00, according to ZipRecruiter salary data. Most workers in this role earn between $27,800.00 and $39,300.00 per year, depending on experience, location, and employer.
What is a remote machine learning job?
A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.
What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?
Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.
What is the difference between Remote Machine Learning vs Data Scientist?
| Aspect | Remote Machine Learning | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's/Master's in CS, ML certifications | Bachelor's/Master's in CS, Statistics, or related field |
| Work Environment | Remote, collaborative teams, tech companies | Remote or on-site, diverse industries, analytics focus |
| Industry Usage | Tech, AI startups, research | Finance, healthcare, e-commerce, tech |
| Search & Comparison Intent | Often compared for technical roles in AI/ML | Broader data analysis roles, but overlapping skills |
Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.
Can remote machine learning engineers work remotely?
Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for data science and AI roles. These positions typically require strong programming skills, experience with tools like Python and TensorFlow, and the ability to collaborate virtually using communication platforms. Remote work in this field is common, especially for roles focused on model development, data analysis, and deployment.
More about Remote Machine Learning jobs
What are popular job titles related to Remote Machine Learning jobs in Cookeville, TN?
For Remote Machine Learning jobs in Cookeville, TN, the most frequently searched job titles are:
What cities near Cookeville, TN are hiring for Remote Machine Learning jobs?
Cities near Cookeville, TN with the most Remote Machine Learning job openings:
Contractor
Re-posted 8 days ago
Job description
About Us
Job Responsibilities
Qualifications
Preferred Qualifications
What We Offer
Statheros is a small DEFTECH firm focused on developing cutting-edge AI and autonomy systems for the US Department of Defense. Our team is passionate about building intelligent systems that solve complex problems. We are looking for a talented AI Engineer specializing in Proximal Policy Optimization (PPO) to lead the development of AI-enabled algorithms that automate the operation of air traffic radar systems.
Job Responsibilities
- Design, implement, and optimize Proximal Policy Optimization (PPO) algorithms for domain-specific use cases.
- Develop and train reinforcement learning models for real-world applications, focusing on efficiency and scalability.
- Collaborate with cross-functional teams to integrate PPO models into production systems.
- Analyze model performance and experiment with hyperparameter tuning to achieve optimal results.
- Stay up-to-date with the latest research and advancements in reinforcement learning and apply them to enhance existing solutions.
- Build robust pipelines for training, evaluation, and deployment of RL models.
- Document workflows, methodologies, and code for reproducibility and knowledge sharing.
Qualifications
- Educational Background: Bachelor's or Master's degree in Computer Science, Machine Learning, AI, Mathematics, or related fields. Ph.D. is a plus.
- Experience:
- 4+ years of professional experience in machine learning, with a focus on reinforcement learning.
- Demonstrated expertise in implementing and optimizing PPO or similar reinforcement learning algorithms.
- Hands-on experience with frameworks like TensorFlow, PyTorch, or JAX.
- Technical Skills:
- Strong programming skills in Python; familiarity with Rust or other languages is a plus.
- Proficiency in designing and running RL experiments in simulated or real-world environments.
- Experience with distributed training systems for reinforcement learning.
- Solid understanding of policy gradient methods and reinforcement learning theory.
- Soft Skills:
- Excellent problem-solving skills and the ability to work in a collaborative, fast-paced environment.
- Strong communication skills for presenting findings and collaborating with interdisciplinary teams.
Preferred Qualifications
- Experience in applying PPO to [specific domain, e.g., robotics, gaming, finance, etc.]
- Familiarity with OpenAI Gym, RLlib, or other RL development environments
- Knowledge of parallel computing and GPU acceleration for large-scale RL tasks
What We Offer
- Remote work location.
- Competitive salary.
- Flexible work schedule.
- Opportunities for professional development and research contributions
- Access to state-of-the-art resources and tools for AI development.
- The chance to work on groundbreaking projects with a talented and passionate team.