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Remote Machine Learning Robotics Jobs in Mesa, AZ

Experience deploying AI, machine learning, or LLM-based capabilities into enterprise workflows ... LI-Remote The Compensation range for this role is 230,000 to 270,000 USD annually and may be ...

Masters or PhD within an engineering discipline preferred. - 3+ years of automotive, robotics or ... in data science and machine learning - Experience implementing software systems components ...

Masters or PhD within an engineering discipline preferred. - 3+ years of automotive, robotics or ... in data science and machine learning - Experience implementing software systems components ...

... remote work. As a Data Analyst, team members will be responsible for evaluating and improving U ... Exposure to and familiarity with common statistical and machine learning techniques. * Substantial ...

Quantitative Analyst III

Scottsdale, AZ ยท On-site +1

$85K - $99K/yr

Scottsdale: 18700 N Hayden Rd, Suite 255, Scottsdale, AZ 85255 Osaic is not considering remote ... Exposure to AI and machine learning tools and their application to business problems or operational ...

Time Type: Full time Remote Type: Job Family Group: Human Resources Summary: The Manager, Talent ... Demonstrated experience applying AI, machine learning, and predictive analytics concepts to talent ...

Quantitative Analyst III

Scottsdale, AZ ยท On-site +1

$85K - $99K/yr

Scottsdale: 18700 N Hayden Rd, Suite 255, Scottsdale, AZ 85255 Osaic is not considering remote ... machine learning tools and their application to business problems or operational improvement ...

Senior Software Engineer

Tempe, AZ ยท Remote

$91K - $163K/yr

If you live near Tempe, AZ, you will enjoy the flexibility of a hybrid-remote role as you take on ... Design, develop, and productionize machine learning and generative AI solutions supporting use ...

US-Remote with the ability to travel up to 30%. Overview The Mobility and Automation (M & A ... Leading edge technology like robotics, RFID and machine vision * 3rd Party Software * Act as a ...

... remote-first education and technology company on a mission to transform learning for students ... and virtual machines. * Provide Tier 1-2 technical support by resolving hardware, software ...

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Remote Machine Learning Robotics information

See Mesa, AZ salary details

$32.2K

$63.3K

$98.7K

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

As of Jul 20, 2026, the average yearly pay for remote machine learning robotics in Mesa, AZ is $63,277.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $74,400.00 per year, depending on experience, location, and employer.

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.

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 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.
What are popular job titles related to Remote Machine Learning Robotics jobs in Mesa, AZ? For Remote Machine Learning Robotics jobs in Mesa, AZ, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Robotics jobs in Mesa, AZ look for? The top searched job categories for Remote Machine Learning Robotics jobs in Mesa, AZ are:
What cities near Mesa, AZ are hiring for Remote Machine Learning Robotics jobs? Cities near Mesa, AZ with the most Remote Machine Learning Robotics job openings:

Senior Financial Analyst, AI Finance Transformation

Dutchbros

Tempe, AZ โ€ข On-site, Remote

$83K - $103K/yr

Full-time

Re-posted 16 days ago


Job description

It's fun to work in a company where people truly believe in what they are doing. At Dutch Bros Coffee, we are more than just a coffee company. We are a fun-loving, mind-blowing company that makes a difference one cup at a time.

Position Overview:
Dutch Bros is launching an AI-driven Finance Transformation initiative, and we are hiring our foundational team members. In this role, you will blend your FP&A or strategic finance expertise with a passion for AI and automation to modernize how our Finance team operates. You will spend your days experimenting with cutting-edge tools (e.g. Python, large language models like Claude, AI coding assistants like Cursor, etc.), prototyping solutions, and automating processes. Your work will directly support Finance leadership (including our Senior Finance Manager for Real Estate) by exploring what is possible with AI in finance. This is not a typical forecasting or close role, and it is not an academic AI research position. It is an opportunity to build and iterate on real-world finance use cases, from automating reports and decks to developing mini-apps and AI copilots for our team. We encourage experimentation: not every idea has to reach production, but each will drive learning and progress towards a "Finance AI Incubator" capability within Dutch Bros.
Job Qualifications:

  • Finance Background: 4+ years of experience in FP&A, strategic finance, or a related analytical finance role. Strong understanding of financial statements, key metrics (revenue, margins, EBITDA), and typical FP&A workflows.

  • Analytical & Technical Aptitude: Advanced Excel skills and proven analytical prowess. Exposure to Python and SQL (through work projects or personal experimentation) and genuine enthusiasm to become more proficient. You've dabbled with modern AI/analytics tools (e.g., tried out Claude Code/Cowork for analysis or used a tool like Power BI/Excel's Power Query) and are excited to deepen those skills.

  • Curiosity & Learning Mindset: Highly curious and coachable, with a self-starter attitude toward learning new technologies. Comfortable exploring unfamiliar tools, asking questions, and iterating solutions. Not afraid to admit what you do not know and driven to figure it out.

  • Communication & Collaboration: Ability to communicate complex ideas in simple terms and build trust across teams. You can take a request from a finance leader and run with it, with a proven ability to regularly provide updates.

Preferred Qualifications:

  • Automation Experience: Hands-on experience automating a process or building a tool in a prior role for instance, writing a Python script to streamline a report, or creating a dynamic dashboard.

  • Education & Continuous Learning: Bachelor's degree in Ffinance, Economics, Data Science, or related field. Additional coursework or certifications in Data Analytics, AI, or Machine Learning are a bonus. Active interest in the data/AI community (e.g., online courses, hackathons, forums) shows you stay curious and engaged.

  • AI/LLM Familiarity: Experience with large language model tools or AI assistants, and familiarity with AI coding copilots or IDEs. Expert-level knowledge is not required, but any prior experimentation or project in this area is a big plus.

  • Industry & Systems Knowledge: Industry experience with Retail or Consumer Goods finance is helpful. Familiarity with data environments (e.g., cloud databases) is a plus.

Location Requirement:
This role is located in Tempe, Arizona. This position is required to be in office 4 days per week (Mon-Thurs); Fridays are optional remote work days.
Key Result Areas (KRAs):

  • Prototype AI Use Cases: Experiment with AI/LLM tools (e.g., Copilot or Claude Code/Cowork, AI copilots like Cursor for coding assistance) to develop proof-of-concept solutions. For example, build a draft "financial analysis assistant" that can answer ad hoc questions, or a model that flags unusual expense patterns. Iterate on prototypes, knowing some will succeed, some will fail, both outcomes are learning opportunities.

  • Automate Finance Workflows: Identify and streamline manual finance processes. Use Python, SQL, or AI/LLM tools to create scripts or bots that auto-generate reports and presentations, unlocking more time for interpretation and strategic partnership.

  • Develop Internal Tools & Dashboards: Build lightweight tools or dashboards that empower the FP&A team. This could mean creating an internal web app for self-service data pulls, designing a dashboard for real-time metrics, or enhancing Excel models with Python-driven automation. Always ensure the tools are user-friendly and add real value to finance partners.

  • Data Leverage & Analysis: Ensure finance data is accessible and reliable by integrating data sources (Snowflake, D365, ERP systems) into analytical models. Conduct ad hoc analysis using advanced analytics (e.g., statistical or AI techniques) to support real-time business questions. Perform ad hoc analyses combining your finance acumen with data techniques (like scenario simulations or variance explanations using advanced analytics) to support quick decision-making.

  • Collaboration & Knowledge Sharing: Work side-by-side with finance leaders to understand their needs and pain points, translating them into technical solutions or prototypes. Document your processes and results and explain complex methods in plain language to ensure adoption. Foster a learning culture by showing colleagues what is possible with new tools, without overwhelming them. You will effectively be a tech translator and coach within finance, as well as a builder.

Skills:

  • Financial Analysis

  • Data Analysis and Interpretation

  • AI Processes & Workflow

  • Financial Modeling

  • Business Acumen

  • Collaboration


Physical Requirements:

  • In-Office Environment:Must be able to work in a busy, crowded, and loud office with frequent distractions and interruptions

  • Must be able to collaborate in-person with occasional impromptu in-person meetings

  • Office Conditions:Adaptability to typical office conditions, which may include exposure to air conditioning, heating, artificial lighting, and varying noise levels

  • Mobility: Ability to sit, stand, reach, twist, stretch, and work at a desk for long stretches. Must be able to occasionally move or lift office items up to 25 pounds

  • Hearing Requirements:Hearing must be sufficient or correctable to ensure clear understanding of spoken information, including participating in virtual meetings and phone calls. Use of hearing aids or other assistive devices is acceptable if needed.

  • Reading and Writing Proficiency:Ability to read and write in English is essential for processing documents, drafting reports, and following up on necessary actions. Proficiency in written communication is required to handle job-related tasks effectively.

  • Vision Requirements:Vision must be adequate or correctable to perform essential job duties, such as reading documents on a computer screen and using other visual tools. Use of corrective lenses or other measures to meet visual requirements is expected if needed.

  • Technology Proficiency:Must be proficient in operating a computer and other office productivity tools such as printers, scanners, and collaboration software.

  • Effective Communication:Must possess strong verbal and written communication skills to interact effectively with team members, clients, and other stakeholders via email, video conferencing, and other in office communication tools.

Compensation:

DOE

If you like wild growth and working in a unique and fun environment, surrounded by positive community, you'll enjoy your career with us!