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Startup Machine Learning Remote Jobs in Albuquerque, NM

Booz Allen Hamilton, Inc.

Data Scientist

Albuquerque, NM · On-site +1

$99K - $225K/yr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Booz Allen Hamilton, Inc.

Data Engineer

Albuquerque, NM · On-site +1

$111K - $133K/yr

Remote Work: No Job Number: R0237241 Location: Albuquerque,NM,US Share job via: Share Data Engineer The Opportunity : Ever-expanding technology like IoT, machine learning, and artificial intelligence ...

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All JobsStartup Machine Learning JobsStartup Machine Learning Remote JobsStartup Machine Learning Remote Jobs in Albuquerque, NM

Startup Machine Learning Remote information

See Albuquerque, NM salary details

$24.7K

$41.3K

$85.3K

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

As of Sep 4, 2026, the average yearly pay for startup machine learning remote in Albuquerque, NM is $41,277.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,500.00 and $44,600.00 per year, depending on experience, location, and employer.

What is a startup machine learning engineer remote?

Remote startup machine learning jobs involve working for early-stage companies or startups to design, develop, and implement machine learning models and solutions, all while working from a remote location. These roles typically require strong programming skills, experience with data analysis, and familiarity with machine learning frameworks. Startups often offer dynamic environments where employees can work on diverse projects and contribute directly to the product's growth. Remote positions provide flexibility in work location and hours, but also require self-motivation and excellent communication skills to collaborate with distributed teams.

What skills and qualifications are needed to thrive as a startup machine learning engineer remote?

To thrive as a Startup Machine Learning Engineer remotely, you need a solid background in computer science, statistics, and machine learning algorithms, typically supported by a relevant degree or equivalent experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms (AWS, GCP, or Azure), and version control systems like Git is essential. Strong self-motivation, communication skills, and the ability to collaborate effectively across time zones help set outstanding candidates apart. These skills and qualities are crucial for delivering impactful ML solutions independently while contributing to fast-paced, distributed startup teams.

What are some unique challenges faced by startup machine learning engineers working remotely?

Machine learning professionals at startups often encounter fast-paced environments where priorities can shift quickly, and working remotely adds another layer of complexity. Collaboration with cross-functional teams, such as engineers and product managers, may require proactive communication to ensure alignment and clarity on project goals. Additionally, limited resources and data infrastructure at startups may mean you'll need to wear multiple hats and help shape processes from the ground up. However, this environment offers high autonomy, opportunities to have a direct impact, and rapid career growth potential as the startup scales.

What are popular job titles related to Startup Machine Learning Remote jobs in Albuquerque, NM?

For Startup Machine Learning Remote jobs in Albuquerque, NM, the most frequently searched job titles are:

What job categories do people searching Startup Machine Learning Remote jobs in Albuquerque, NM look for?

The top searched job categories for Startup Machine Learning Remote jobs in Albuquerque, NM are:

Startup Machine Learning Remote jobs near you
Infographic showing various Startup Machine Learning Remote job openings in Albuquerque, NM as of June 2026, with employment types broken down into 2% As Needed, 50% Full Time, 44% Part Time, 2% Temporary, and 2% Contract. Highlights an 52% Physical, 2% Hybrid, and 46% Remote job distribution, with an average salary of $41,277 per year, or $19.8 per hour.

Client Success Expert (Commercial Team) (Remote)

INFUSE

Albuquerque, NM • Remote

Full-time

Posted 9 days ago

Job description

OUR HIRING PROCESS:

  • We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
  • We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
  • At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
  • From there on, it's decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. 
    INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy

Are you driven by the desire to deliver exceptional client experiences and thrive in a dynamic environment? At INFUSE, we're seeking a passionate Client Success Specialist to join our team, where your efforts directly contribute to our clients' satisfaction and our company's success. This position offers an enriching path to professional growth and the unique opportunity to work with a variety of industries, ensuring no two days are the same. INFUSE has built a reputation as a beloved employer by prioritizing employee satisfaction and creating a workplace where everyone feels valued and connected. Joining our team means becoming part of a supportive community that celebrates every success and encourages continuous improvement. You'll discover how our employees love their jobs, driven by the meaningful connections they make and the positive impact they have on our clients' businesses.

Key Responsibilities
  • Build and maintain strong, long-lasting client relationships
  • Ensure the timely and successful delivery of our solutions according to client needs and objectives
  • Communicate clearly the progress of monthly/quarterly initiatives to internal and external stakeholders
  • Identify and grow opportunities within the territory and collaborate with sales teams to ensure growth attainment
  • Assist with challenging client requests or issue escalations as needed
  • Provide assistance across a variety of administrative and operational tasks, such as data entry, updating internal systems, or managing schedules.
Requirements
  • Proven track record of managing client relationships, preferably in a related field such as hospitality, client success, or sales
  • Strong communication and interpersonal skills
  • Can handle various tasks with attention to detail, managing priorities effectively in a fast-paced environment.
  • Empathetic understanding of client needs and ability to address them effectively
  • Ability to address challenges and proactively offer solutions.

If you're passionate about building meaningful relationships and delivering top-notch client experiences, we'd love to hear from you. Apply now to embark on a rewarding career journey with INFUSE, where your ambitions and contributions are recognized and valued. Don't miss your chance to be part of a team that genuinely enjoys making a difference. Submit your application today!

We are an Equal Opportunity Employer. We make hiring decisions based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, or any other characteristic protected under applicable law. We welcome applicants from all backgrounds and believe that diversity of experience, culture, and perspective makes us stronger.