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Remote Tesla Machine Learning Engineer Jobs in El Paso, TX

... 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

El Paso, TX · 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 ...

Project Solutions Manager

El Paso, TX · Remote

$105K - $169K/yr

Project Solutions Manager - Remote/Field Based Come build your career. It takes great people to ... Bachelor's Degree preferred (Business Management or Engineering preferred) * 10+ years of in sales ...

... learning and professional development to enhance skills and knowledge. **Qualifications ... Additional perks such as remote work options, flexible scheduling, wellness programs, etc.

Showing results 21-33

Remote Tesla Machine Learning Engineer information

See El Paso, TX salary details

$28.5K

$116.5K

$175K

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

As of Aug 9, 2026, the average yearly pay for remote tesla machine learning engineer in El Paso, TX is $116,464.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $140,200.00 per year, depending on experience, location, and employer.

What does a remote Tesla machine learning engineer do?

A Remote Tesla Machine Learning Engineer is responsible for designing, developing, and deploying machine learning models to improve Tesla's products and services. Working from a remote location, they collaborate with teams to analyze large datasets, build predictive models, and optimize algorithms for applications such as autonomous driving, energy management, and manufacturing. They also ensure that machine learning solutions are scalable and meet Tesla's high standards for performance and safety.

What are some common challenges faced by remote Tesla machine learning engineers, and how can they be overcome?

Remote Tesla Machine Learning Engineers often face challenges such as collaborating across different time zones, ensuring effective communication with cross-functional teams, and maintaining access to high-performance computing resources. To overcome these, engineers typically use collaborative tools for code sharing and project management, participate in regular virtual meetings, and leverage Tesla's robust cloud infrastructure for experimentation and model training. Proactively seeking feedback and staying aligned with team goals are also key practices for success in this remote, fast-paced environment.

What are the key skills and qualifications needed to thrive as a remote Tesla machine learning engineer?

To thrive as a Remote Tesla Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning principles, typically demonstrated through a relevant degree or equivalent experience. Proficiency with Python, TensorFlow or PyTorch, cloud platforms, and version control systems is crucial, and certifications in AI/ML can be advantageous. Exceptional problem-solving, communication, and self-motivation are important soft skills for collaborating remotely and tackling complex projects. These skills enable engineers to design, implement, and scale innovative AI solutions that drive Tesla's technology forward.

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

AspectRemote Tesla Machine Learning EngineerRemote Data Scientist
Required CredentialsDegree in Computer Science, Engineering, or related field; experience with ML frameworksDegree in Statistics, Mathematics, or related field; strong programming skills
Work EnvironmentCollaborates with engineering teams on autonomous systems and vehicle dataAnalyzes large datasets to extract insights for business or product decisions
Employer & Industry UsagePrimarily in automotive, tech, and autonomous vehicle sectorsAcross tech, finance, healthcare, and various industries

While both roles involve data analysis and machine learning, the Remote Tesla Machine Learning Engineer focuses on developing algorithms for autonomous vehicles, whereas the Remote Data Scientist analyzes data to inform business strategies. The roles share similar credentials but differ in application and industry focus.

What are popular job titles related to Remote Tesla Machine Learning Engineer jobs in El Paso, TX? For Remote Tesla Machine Learning Engineer jobs in El Paso, TX, the most frequently searched job titles are:
What job categories do people searching Remote Tesla Machine Learning Engineer jobs in El Paso, TX look for? The top searched job categories for Remote Tesla Machine Learning Engineer jobs in El Paso, TX are:
What cities near El Paso, TX are hiring for Remote Tesla Machine Learning Engineer jobs? Cities near El Paso, TX with the most Remote Tesla Machine Learning Engineer job openings:

Software Engineer, iOS Core Product - El Paso, TX, USA

Speechify

El Paso, TX • Remote

Full-time

Re-posted 15 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.