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Startup Machine Learning Remote Jobs in Oklahoma

Strayos

$13 - $17.50/hr

As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine learning techniques to solve challenging research questions. To efficiently execute your solutions, you ...

Everforth, Cybercoders

Senior Golang Engineer

Tulsa, OK · On-site +1

$140K - $200K/yr

Senior Golang Engineer - B2B SaaS Startup Founded in 2022 and backed by investors behind SpaceX ... Curiosity and enthusiasm for learning new systems and tackling complex integration challenges

Volt Labs Inc.

Senior QA Engineer

Tulsa, OK · On-site +1

$115K - $140K/yr

We are a remote-first, high-ownership team operating in a fast-moving growth environment. We care ... Helping the broader team grow its own AI-enabled QA practices over time - we're all learning ...

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Startup Machine Learning Remote information

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.

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Startup Machine Learning Remote jobs near you

Applied Scientist Internship

Strayos

On-site, Remote

$13 - $17.50/hr

Internship

Re-posted 19 days ago

Job description

If you love using innovative technology to tackle tough science problems and working in a fast-paced, results-oriented team environment, keep reading to learn more about the Strayos Applied Scientist internship opportunity.


Here at Strayos, we use advanced computer vision and machine learning on images and machine sensors data to build insights for Mining, Infrastructure and Construction industry. Our applied science team uses these datasets to better understand our customers critical business operations and how it is changing. We are seeking three exceptional students with experience interpreting and processing imagery to join our applied science team during a three-month internship based at Strayos' headquarters in Buffalo, WNY.


Over the course of this internship, you will work directly with our dynamic team of applied scientists who can share their deep knowledge of machine learning, remote sensing, geoscience, and physics. As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine learning techniques to solve challenging research questions. To efficiently execute your solutions, you will access the Strayos' imagery archive and cloud-computing resources, and receive mentorship from one of our applied scientists. At the end of the internship, you will present your findings to the broader applied science team and learn more about future career opportunities at Strayos.


Responsibilities

  • Leverage our Python-based platform to query, access, and manipulate aerial imagery

  • Utilize machine learning or other classification techniques to analyze aerial imagery

  • Produce clear, concise results (e.g. ML models, statistics) for a project that can be completed during the course of the internship


Requirements

  • Candidates must currently be enrolled in an academic degree program in Geography, Geoscience, Earth Science, Engineering, Physics, Computer Science or a related field, within 1 year of completion.

  • Experience with Python & Numpy

  • Strong problem solving and critical thinking skills

  • Excellent written and verbal communication

  • Ability to work independently


Preferred skills

  • Experience with machine learning and image classification

  • Proficiency with the following Python packages: numpy, scikit-learn, keras

  • Experience working with aerial or satellite imagery and geospatial data.

Employment Type: INTERN

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