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Remote Senior Machine Learning Engineer Jobs in Montgomery, AL

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Remote Senior Machine Learning Engineer information

See Montgomery, AL salary details

$74.7K

$141.7K

$189.9K

How much do remote senior machine learning engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for remote senior machine learning engineer in Montgomery, AL is $141,745.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,200.00 and $159,800.00 per year, depending on experience, location, and employer.

How do Remote Senior Machine Learning Engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. Such compensation typically requires a strong educational background, a track record of impactful projects, and expertise in tools like TensorFlow or PyTorch.

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

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

What are the key skills and qualifications needed to thrive as a Remote Senior Machine Learning Engineer, and why are they important?

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

What does a Remote Senior Machine Learning Engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.

What engineers make $300,000 a year?

Senior machine learning engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in deep learning and data modeling, and work at large tech companies or in specialized industries. Compensation often includes base salary, bonuses, and stock options, particularly in high-demand markets.

Will MLE be replaced by AI?

As a Senior Machine Learning Engineer, the role involves designing, developing, and maintaining AI systems, which currently require human expertise. While AI tools can automate certain tasks, the need for skilled professionals to interpret data, ensure ethical use, and improve models remains essential. AI is more likely to augment rather than replace the responsibilities of MLEs in the foreseeable future.

What engineers make $200,000 a year?

Senior machine learning engineers often earn $200,000 or more annually, especially with extensive experience, advanced skills in deep learning and data modeling, and proficiency with tools like TensorFlow or PyTorch. Compensation can vary based on industry, location, and company size, with some roles in tech giants or specialized fields reaching or exceeding this level.
What are popular job titles related to Remote Senior Machine Learning Engineer jobs in Montgomery, AL? For Remote Senior Machine Learning Engineer jobs in Montgomery, AL, the most frequently searched job titles are:
What job categories do people searching Remote Senior Machine Learning Engineer jobs in Montgomery, AL look for? The top searched job categories for Remote Senior Machine Learning Engineer jobs in Montgomery, AL are:
Remote Senior Machine Learning Engineer jobs near you
Member Services Representative

Member Services Representative

S3 Shared Services

Montgomery, AL • Remote

$19.23/hr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 13 days ago

Job description

About S3:
We are excited to share that S3 was named a Top Workplace of 2022 and 2023 through the Baltimore Sun, 2023 Top Workplace in the USA as well as for leadership, and 2023 America’s most loved workplaces by Newsweek. Our commitment to teamwork and a positive attitude enables us to deliver service that generates quality results for our partners. If you join our team, we’ll invest in your learning and development through training programs designed to power your success.

S3 is a Credit Union Service Organization (CUSO) which is an organization, owned by credit unions. We serve credit unions by supporting their operations and delivering world class service. We support the credit union members with their loans, deposits and other financial needs to achieve their goals.

The Member Service Representative will be part of our talented remote Contact Center team. The Member Service Representative will answer phone calls to assist with questions and requests regarding membership, banking products, services, and rates while seeking to exceed member expectations with every interaction. We pride ourselves on delivering world class service in a collaborative and supportive team environment. Our success is dependent upon employees who are self-motivated, dependable, adaptable, a team player, and member focused.


S3 STAR Values:
• Service
• Teamwork
• Attitude
• Results

Location: Remote

TOP JOB RESPONSIBILITIES:
• Answers phone calls and utilizes knowledge of credit union products, data systems, and web-based applications to provide information, answer questions, and assist with requests and concerns for both member and non-member callers.
• Completes required member verification, reviews accounts, relay company and credit union policy/procedures, and communicates with management or other S3 teams/departments as needed to remedy member service issues in a remote environment.
• Specializes in either digital, cards, or loans-related queue and processes related transactions.
Other responsibilities and opportunities:
• Corresponds with other departments and management through email for additional requests or research.
• Additional job-related projects and duties as assigned by management.


QUALIFICATIONS & SKILLS:
• 6 months of experience in customer service is preferred.
• Excellent written and verbal communication.
• Thrives in a fast-paced customer service environment.
• Must be highly organized and detail oriented.
• Ability to work independently and prioritize work effectively.
• Ability to navigate and utilize multiple platforms/computer software simultaneously.
• Experience in a remote work environment with dual monitors is a plus.
• Works well in a structured and procedure driven position.


FLSA: Nonexempt


PERKS AND BENEFITS:
• Group medical, dental, and vision coverage insurance
• Generous Paid Time Off
• Up to 11 Paid Holidays Per Year
• 401(k) With Employer Match and Discretionary Contribution
• Employee Referral Program
• Wellness Programs
• Peer-to-Peer Recognition Program
• Salary is $19.23/hour

Equal Employment Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected status.”
ADA Statement & Requirements
S3 is committed to the full inclusion of all qualified individuals. In keeping with our commitment, S3 will take steps to ensure that people with disabilities are provided reasonable accommodations.
Work Environment- This position operates in a professional office environment. This role uses standard office equipment such as computers, phones, photocopiers, filling cabinets and fax machines.
Cognitive Requirements-
Constantly: Compile, copy and compare information; Analyze and compute information. Problem solving and critical thinking; Exercise good judgement/reasoning and resourcefully solve routine problems; Organize and handle multiple tasks and prioritize; Handle confidential/sensitive information; Exhibit excellent customer service skills
Occasionally: Perform basic mathematical computations
Physical Requirements-
Constantly: Sit- Remaining in a seated position for long periods of time; Use hands/fingers for repetitive keyboard & hand motion; Speak coherently
Emotional Effort- Frequent short deadlines. Work environment hectic with continual periods of high stress.
Internal/External Interaction- Steady and ongoing with occasional periods of low volume.