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Machine Learning Jobs in Philadelphia, MS (NOW HIRING)

... and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an intellectually demanding career ...

... and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an intellectually demanding career ...

... and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an intellectually demanding career ...

... and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an intellectually demanding career ...

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Machine Learning information

See Philadelphia, MS salary details

$21.9K

$36.6K

$75.6K

How much do machine learning jobs pay per year?

As of Sep 4, 2026, the average yearly pay for machine learning in Philadelphia, MS is $36,604.00, according to ZipRecruiter salary data. Most workers in this role earn between $27,900.00 and $39,500.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Is machine learning a high paying job?

Machine learning engineers and specialists are generally among the higher-paid roles in the tech industry due to their advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but the field is known for competitive compensation compared to many other tech roles.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What job categories do people searching Machine Learning jobs in Philadelphia, MS look for?

The top searched job categories for Machine Learning jobs in Philadelphia, MS are:

What cities near Philadelphia, MS are hiring for Machine Learning jobs?

Cities near Philadelphia, MS with the most Machine Learning job openings:

Infographic showing various Machine Learning job openings in Philadelphia, MS as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 26% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $36,604 per year, or $17.6 per hour.

Psychiatric Nurse Practitioner (PMHNP) - Telehealth

Brightside Health

Forest, MS • Remote

$84 - $115/hr

Contractor

Re-posted 28 days ago


Job description

Psychiatric Nurse Practitioner (PMHNP) - Flexible Telehealth

Brightside is dedicated to offering transformative mental health care to individuals regardless of their background, location, or circumstances. Our primary goal is to improve access to high-quality and impactful mental health care that is supported by scientific research and delivered with humanity. This is why we are revolutionizing the traditional approach by leveraging precision treatment that is rooted in evidence and tailored to each person's unique needs, ensuring that they receive the most effective treatment from the very beginning.

Apply to be a Psychiatric Nurse Practitioner at Brightside Health, where we integrate a consumer-centric approach with evidence-based methodologies, cutting-edge artificial intelligence, and a dedicated team of providers and therapists to deliver customized treatment for each Brightside member. As we redefine mental healthcare for the telemedicine era, we're driven to establish ourselves as the leading provider of psychiatric care across the nation. Be part of our mission to transform the landscape of mental health treatment.

Our Psychiatric Nurse Practitioners Enjoy:

  • Flexible & Remote Telemedicine: Evidence-based approach to psychiatric care via telemedicine, including asynchronous case review, video consultation, and e-prescribing, lowers the barriers to accessing high-quality and affordable care.

  • Supportive and Collaborative Environment: To ensure the success of our patients and members, we have established dedicated teams for both member and provider support. Additionally, we facilitate collaboration between our providers and clinical leadership through 1:1 consultations, as well as encourage interaction among colleagues through internal communication forums.

  • Measurement-Based Care: Our technology measures symptoms, adherence, and side effects weekly through the active treatment phase and automatically triggers treatment reviews if patients are not improving. We are redefining the provider-patient relationship, supporting encounter-based care with remote and proactive oversight enabled by technology.

  • Machine Learning-Powered Clinical Decision Support: Contrary to conventional practice, data can help match patients to medications for better outcomes. Using machine learning and real-time data from patient monitoring, we are building a highly effective clinical decision support tool for prescribing.

Who Were Hiring:

Were seeking forward-thinking and experienced Psychiatric Nurse Practitioners who understand the magnitude of the need and want to be part of the solution. Working with Brightside means the ability to practice with clinical autonomy alongside Psychiatrist support while creating a flexible work schedule. Our providers use the latest tools, including a custom-built practice management EMR, and clinical decision support, all truly designed to be easy to use.

Benefits:

  • 100% remote, telehealth position

  • 1099 contract agreement

  • Autonomy to create your own schedule

  • No on-call or after-hours work

  • Collaborating psychiatrists covered for all psychiatric nurse practitioners (nationwide)

  • Malpractice insurance covered

  • Ongoing collaboration and camaraderie with other Brightside providers

  • State-of-the-art tools and customizable EMR, integrated with artificial intelligence to prompt check-ins, follow-ups, and much more with your patients

Responsibilities:

  • Maintain all appropriate licensure to prescribe and dispense medications under applicable state and federal laws

  • Have excellent grammar, attention to detail, and proficient at writing medical information at a patient level

  • Must be technology savvy and excited about how technology can improve medical care

  • Be pleasant, responsive, and willing to collaborate with our team

  • Provide direct patient care via telemedicine (remote); including synchronous video consultations and asynchronous messaging

  • Consistently responsive to clinical leadership team and highly reliable to our members

  • Evaluate patient records, make prescribing decisions, and provide medication-related counseling as needed in a timely manner

  • Successful completion of charting within 48 hours of session

  • Support a 72-hour messaging response window for patients

Requirements:

  • Active and clear APRN license

  • Licensed Nurse Practitioner - Certified in Psychiatric & Mental Health (PMHNP Required)

  • At least 2 years of autonomous experience practicing as a PMHNP, post-graduate

  • Previous experience working in an outpatient setting

  • Telehealth experience and a high comfort level of working with technology

  • Must be licensed in 4+ states (the more the merrier)

  • 8+ hours of availability per week

  • Experience working with adolescents is strongly preferred

  • Opted in to Medicare/Medicaid

We know that diversity makes for the best problem-solving and creative thinking, and are committed to equity and inclusion. We are dedicated to adding new perspectives to the team and encourage everyone to apply if your experience is close to what we are looking for. Were an Equal Opportunity Employer and do not discriminate against candidates or patients on the basis of race, color, gender, sexual orientation, gender identity or expression, age, religion, disability, national origin, protected veteran status, or any other status protected by applicable federal, state, or local law.