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Remote Machine Learning Robotics Jobs in Alabama

$171K - $210K/yr

Data Engineering, Data Science or Machine Learning * Operations, Security and Data Governance ... Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote

... days remote Position Description This position supports the Golden Dome Supply Chain Enterprise program by executing analytics workflows, data ingestion pipelines, and machine learning model ...

United States (Remote) Interested applicants must reside in one of the following approved states ... and machine learning enablement * Promote architectural patterns that enable resilience ...

... days remote Position Description This position supports the Golden Dome Supply Chain Enterprise program by executing analytics workflows, data ingestion pipelines, and machine learning model ...

Data Architect IRES - HSV

Redstone Arsenal, AL · On-site +1

$65 - $83.75/hr

None available at this time Remote/Telework: NO Clearance Type: DoD Secret Shift: Day shift Travel ... Must have an understanding of Machine Learning (ML), Natural Language Processing (NLP), and ...

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Remote Machine Learning Robotics information

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

To thrive as a Remote Machine Learning Robotics Engineer, you need a solid background in robotics, machine learning algorithms, programming (Python, C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics frameworks (like ROS), machine learning libraries (such as TensorFlow or PyTorch), and experience with cloud platforms or remote collaboration tools are highly valued. Strong problem-solving abilities, initiative, and effective remote communication skills help you excel in distributed teams. These competencies enable you to develop intelligent robotic systems efficiently, collaborate across locations, and drive innovation in a rapidly evolving field.

How do remote machine learning robotics professionals typically collaborate with hardware teams when working off-site?

Remote machine learning robotics professionals often collaborate closely with hardware teams through regular virtual meetings, shared documentation, and cloud-based development environments. They use simulation tools to test algorithms before deployment and rely on video calls or live streams to observe hardware tests in real time. Effective communication and detailed feedback are essential to ensure that software and hardware integration runs smoothly, despite working from different locations. This collaborative approach helps address issues quickly and keeps projects on track.

What is a Remote Machine Learning Robotics job?

A Remote Machine Learning Robotics job involves developing and implementing machine learning algorithms to control and improve robotic systems, all while working from a remote location. Professionals in this field use artificial intelligence techniques to enable robots to learn from data and adapt to new tasks. They collaborate with teams virtually, leveraging cloud-based tools and simulation environments to design, test, and deploy robotic solutions. This role typically requires strong programming skills, knowledge of robotics frameworks, and experience with machine learning models.

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

AspectRemote Machine Learning RoboticsRemote Data Scientist
Required CredentialsDegree in Robotics, Computer Science, or related fields; experience with ML algorithms and robotics platformsDegree in Data Science, Statistics, or related fields; proficiency in ML, statistics, and programming
Work EnvironmentHands-on with robotics hardware, simulation environments, and software developmentData analysis, modeling, and visualization primarily on software platforms
Employer & Industry UsageRobotics companies, manufacturing, autonomous vehicles, research labsTech firms, finance, healthcare, research institutions

Remote Machine Learning Robotics focuses on developing intelligent systems that integrate robotics hardware with machine learning algorithms, often requiring hands-on hardware work. In contrast, Remote Data Scientists primarily analyze data and build models using software tools. Both roles involve ML expertise but differ in work environment and industry applications.

What are popular job titles related to Remote Machine Learning Robotics jobs in Alabama? For Remote Machine Learning Robotics jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Robotics jobs in Alabama look for? The top searched job categories for Remote Machine Learning Robotics jobs in Alabama are:
What cities in Alabama are hiring for Remote Machine Learning Robotics jobs? Cities in Alabama with the most Remote Machine Learning Robotics job openings:
Infographic showing various Remote Machine Learning Robotics job openings in Alabama as of May 2026, with employment types broken down into 84% Full Time, 5% Part Time, and 11% Contract. Highlights an 88% Physical, 6% Hybrid, and 6% Remote job distribution.
Senior Solutions Engineer - Northeast

Senior Solutions Engineer - Northeast

Cloudera

Remote

$171K - $210K/yr

Full-time

PTO

Posted 22 days ago


Job description

Business Area:

Sales Engineering

Seniority Level:

Mid-Senior level

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.

At Cloudera, our goal is to make everyone feel valued for their contributions to the company's mission. We are looking for smart people who want to do remarkable things. We strive to build an environment of casual intensity where people enjoy coming to work every single day. We are currently seeking a customer-facing, hands-on technologist with a track record of success to join us.

As a Senior Solutions Engineer you will:

  • Own the technical sales process from introductory meetings (net new sales) through post-sales (customer satisfaction, upselling, and subscription renewals)

  • Supporting the technical needs of customers including discovering new use cases for Cloudera's technology

  • Designing solutions for your customers' needs using Cloudera technologies, based on reference architectures and common patterns

  • Demonstrating Cloudera products in a way that inspires your customers to say "yes" to Cloudera

  • Partnering with your Account Managers to show your customers the true value of a Cloudera solution and drive successful sales

  • Presenting product roadmap and vision to inspire your customers to think bigger

  • Interfacing with other Cloudera teams to ensure your customers hear one Cloudera voice

  • Advocating for your customers' needs to Product Management and Engineering

  • Participating in external publicity and evangelism (conferences, meetups, webinars, blogs)

  • Achievements are aligned to a team goal with annual sales targets, as well as to your participation in knowledge exchange with peers and the wider community.

We're excited about you if you have:

  • A passion for using technology to make a difference to people and organizations. We'll supply some amazing tools to help you with this and you'll provide the connection to use cases, which make it real for your customers

  • Bachelor's degree in related field of study or equivalent work experience.

  • A minimum of 8 years experience in a customer-facing role, ideally in a pre-sales context

  • The ability to create and give technical presentations and demonstrations

  • Experience with some of the following technologies:

    • Big Data, Data Warehousing or Relational Databases

    • One or more of the three major cloud service providers (AWS, Azure or GCP). Formal certification is not required, but would be a great thing to have

    • Data Engineering, Data Science or Machine Learning

    • Operations, Security and Data Governance within the enterprise

    • Unix or Linux

  • Experience gathering and understanding customer business requirements

  • Excellent written and verbal communication

  • Problem solving skills

  • A willingness to learn, a curiosity to discover and a drive to make your customers successful

The expected base salary range for this role in

  • New York base salary $171,000 - $210,000

  • Please note that the compensation details listed in our job postings reflect the base salary only, and do not include commissions or bonus as applicable

  • The salary will vary depending on your job-related skills, experience and location

This role is not eligible for immigration sponsorship

(Note: Base Salary Ranges will be calculated from a % of OTE, based on split)

What you can expect from us:

  • Generous PTO Policy

  • Support work life balance with Unplugged Days

  • Flexible WFH Policy

  • Mental & Physical Wellness programs

  • Phone and Internet Reimbursement program

  • Access to Continued Career Development

  • Comprehensive Benefits and Competitive Packages

  • Paid Volunteer Time

  • Employee Resource Groups

EEO/VEVRAA

#LI-MH2

#LI-Remote