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Remote Machine Learning Engineer Jobs in New Mexico

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Statics Tutor

Albuquerque, NM · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Senior Engineer

Las Cruces, NM · On-site +1

$85K - $124K/yr

If you're an experienced engineer looking for meaningful work and a sustainable pace, this role ... Alternative schedules may be considered with department approval to include some remote work. This ...

... developer or a seasoned expert, we're invested in your professional journey. With learning-forward ... Whether you're remote, hybrid, or on-site, we offer flexible options that fit your lifestyle.

New

... learning, and creative problem-solvingthat allows the right candidate to handle multiple work ... Remote {#LI-Remote}, this role provides support for the East Coast and will require East Coast ...

... developer or a seasoned expert, we're invested in your professional journey. With learning-forward ... Whether you're remote, hybrid, or on-site, we offer flexible options that fit your lifestyle.

This role is remote or hybrid (3 days/week) in Shakopee, MN . About Entrust: Our growing company ... developer or a seasoned expert, we're invested in your professional journey. With learning-forward ...

Collaborate with cross‑functional consulting and engineering teams to integrate AI solutions with ... Based on this role's business requirements, this is a remote position open to qualified applicants ...

$18.43 - $27.03/hr

... developer or a seasoned expert, we're invested in your professional journey. With learning-forward ... Whether you're remote, hybrid, or on-site, we offer flexible options that fit your lifestyle.

New

$81K - $118K/yr

... developer or a seasoned expert, we're invested in your professional journey. With learning-forward ... Whether you're remote, hybrid, or on-site, we offer flexible options that fit your lifestyle.

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Showing results 1-20

Remote Machine Learning Engineer information

See New Mexico salary details

$30.5K

$124.8K

$187.5K

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

As of Jul 13, 2026, the average yearly pay for remote machine learning engineer in New Mexico is $124,787.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $150,200.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often reflects expertise, leadership roles, or working in competitive industries such as tech or finance, especially in organizations valuing AI development.

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role is unlikely to be fully replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing MLEs to focus on complex problem-solving, model optimization, and system integration. Continuous learning and expertise in programming, data handling, and model evaluation remain essential for MLEs in an evolving AI landscape.

What are the key skills and qualifications needed to thrive in the Remote Machine Learning Engineer position, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, or PyTorch. Remote work arrangements depend on the employer's policies and the specific project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.
What are the most commonly searched types of Machine Learning Engineer jobs in New Mexico? The most popular types of Machine Learning Engineer jobs in New Mexico are:
What are popular job titles related to Remote Machine Learning Engineer jobs in New Mexico? For Remote Machine Learning Engineer jobs in New Mexico, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer jobs in New Mexico look for? The top searched job categories for Remote Machine Learning Engineer jobs in New Mexico are:
What cities in New Mexico are hiring for Remote Machine Learning Engineer jobs? Cities in New Mexico with the most Remote Machine Learning Engineer job openings:
Infographic showing various Remote Machine Learning Engineer job openings in New Mexico as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $124,787 per year, or $60 per hour.

Software Engineer, iOS Core Product - Albuquerque, NM, USA

Speechify

Albuquerque, NM • Remote

$135K/yr

Other

Re-posted 18 days ago


Job description

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for Inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward.   

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You'll Do

  • Opportunity to lead key engineering and product decisions
  • Actively shipping production code for the Speechify iOS app
  • Work within a dedicated product team
  • Participate in product discussions to shape the product roadmap
  • Maintain and enhance the existing complex app architecture

An Ideal Candidate Should Have

  • Experience. You've worked on products that scaled to a large user base
  • Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product
  • Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience
  • Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction
  • Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time
  • Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
  • Technical skills. Swift, SwiftUI

Technical Requirements:

  • Swift Programming Language
  • SwiftUI experience
  • Experience in Multithreading Programming
  • Working with CI/CD infrastructure
  • Experience with Fastlane
  • SOLID principles, the ability to write every single class according to SOLID
  • Experience with Git and understanding of different Git strategies

What We offer:

  • A fast-growing environment where you can help shape the company and product
  • An entrepreneurial crew that supports risk, intuition, and hustle
  • The opportunity to make a big impact in a transformative industry
  • A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture
  • Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives
  • Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world
  • Work in one of the fastest growing sectors of tech: Intersection of Artificial Intelligence and Audio 

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience

Think you're a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.