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Remote Google Machine Learning Engineer Jobs in Arizona City, AZ

Bradken

Business Development Specialist

Arizona City, AZ · On-site +1

In this fully remote position, you will be the spearhead for our Fixed Plant, Mill Liners, and Wear ... You will be backed by a century of engineering excellence and a brand name that opens doors to the ...

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Remote Google Machine Learning Engineer information

See Arizona City, AZ salary details

$31.7K

$129.7K

$194.8K

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

As of Aug 18, 2026, the average yearly pay for remote google machine learning engineer in Arizona City, AZ is $129,656.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,200.00 and $156,100.00 per year, depending on experience, location, and employer.

What is a remote Google machine learning engineer?

A Remote Google Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models and artificial intelligence solutions, often using Google Cloud technologies, while working from a remote location. These engineers collaborate with cross-functional teams to solve complex business problems, optimize data pipelines, and improve model performance. Their responsibilities typically include data preprocessing, model selection, training, evaluation, and deployment, all while ensuring scalability and security. Working remotely allows them to contribute to projects from anywhere, leveraging cloud-based tools and collaboration platforms.

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

To thrive as a Remote Google Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning algorithms, typically supported by a relevant degree and experience in building scalable models. Proficiency with tools such as TensorFlow, Python, Google Cloud Platform (GCP), and familiarity with distributed systems is essential. Excellent problem-solving, communication, and self-management skills are crucial for effective remote collaboration and innovation. These capabilities enable engineers to deliver impactful machine learning solutions while seamlessly integrating with global Google teams.

How do remote Google machine learning engineers typically collaborate with cross-functional teams while working from different locations?

Remote Google Machine Learning Engineers often use a combination of video conferencing, cloud-based collaboration tools, and shared code repositories to work closely with data scientists, product managers, and software engineers. Regular stand-up meetings, sprint planning sessions, and detailed documentation help ensure everyone is aligned and project milestones are met. Despite being remote, engineers are encouraged to proactively communicate progress, share insights, and participate in code reviews to maintain a strong team dynamic and drive successful project outcomes.

What cities near Arizona City, AZ are hiring for Remote Google Machine Learning Engineer jobs?

Cities near Arizona City, AZ with the most Remote Google Machine Learning Engineer job openings:

Remote Google Machine Learning Engineer jobs near you
Infographic showing various Remote Google Machine Learning Engineer job openings in Arizona City, AZ as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $129,656 per year, or $62.3 per hour.

Business Development Specialist

Bradken

Arizona City, AZ • On-site, Remote

Full-time

Re-posted yesterday

Job description

Who We Are

Bradken is equipping the global mining sector to sustainably advance society. With a legacy spanning over 100 years, we have evolved into a global powerhouse in mineral processing. Boasting a diverse and inclusive workforce of more than 4,000 professionals across 100+ trades and professions.

When you join Bradken, you aren't just joining a company; you're joining a global network. Our global presence, our collaborative culture means you'll be working alongside world-class experts across borders to deliver high-value products that support the world's most critical mining operations.

About the Role:

We are moving fast, and we are looking for a high-energy Business Development Specialist to join our Mineral Processing team to act as engine of our growth across regional mining clients.

In this fully remote position, you will be the spearhead for our Fixed Plant, Mill Liners, and Wear Piping segments. You will have the unique opportunity to work with international markets, engaging with teams and clients across the region to identify the next big opportunity.

If you are a technical sales professional who feels restricted by local boundaries, this is your chance to step onto a global stage. You will be backed by a century of engineering excellence and a brand name that opens doors to the highest levels of the mining industry. We are strengthening our global footprint, and we want you to be a key part of that story.

Key Responsibilities

  • Hunt for Growth: Conduct aggressive market research and competitive analysis to identify untapped opportunities in the mineral processing space.
  • Build the Future Pipeline: Prospect for new leads and nurture mid-to-long-term relationships, ensuring a steady stream of high-value opportunities.
  • Global Collaboration: Partner with Regional Sales Managers and Product Development teams to craft winning technical solutions and proposals.
  • Strategic Execution: Execute market entry plans that remove barriers to entry and accelerate Bradken's growth in emerging segments.
  • Shape the Message: Create high-impact sales materials that communicate the 100-year value proposition of Bradken to new and existing customers.
  • Safety & Quality Excellence: Champion our "Safety First" culture and ensure every proposal and interaction reflects our commitment to quality.

What We're Looking For

  • Educational Foundation: Degree in Engineering or Business Administration.
  • Mining Industry Savvy: Experience in Technical Sales within the mining sector.
  • Product Edge: Knowledge of Fixed Plant, Mill Liners, or Wear Piping solutions.
  • Tech-Forward: Proficiency in Salesforce (CRM) and data-driven decision-making (Preferred but not mandatory).
  • Global Mindset: You thrive in high-stakes international collaboration and a "One Team" culture.
  • High Drive: A proactive self-starter who navigates challenges independently to deliver results.

Why join our team at Bradken?

  • Global Reach and "One Team" Culture Mindset: Work in an international environment with over 4,000 colleagues worldwide.
  • Performance Rewards Bonus: Sales Performance Bonus & Annual Performance Bonus.
  • True Flexibility: Fully remote work options to help you balance your professional and personal life.
  • Comprehensive Benefits: Competitive Total Reward Packages, Paid Parental Leave, and a Private Psychology Service (EAP) for you and your family.
  • Growth: Learning and Development training courses and an Education Assistance Program.
  • Paid Parental Leave
  • Safety First Culture and Community involvement Program

This position is open to be fully remote in any of the following locations: Southwest US (Arizona, Utah, Nevada, Colorado, New Mexico). While a "remote" position, it will require substantial travel to mining locations.

Note: Pre-employment medical, including drug and alcohol testing, and a psychometric assessment are required.

Are you ready to accelerate your career with a global leader? Apply by August 2nd 2026 with a Cover Letter (Optional) that tells us why you're ready to take our business development to the next level.

Before commencing employment, you will be required to complete a psychometric assessment and a pre-employment medical, including drug and alcohol testing.
Bradken is an Equal Opportunity Employer and we are committed to providing a diverse, inclusive, engaging, and flexible environment for our people because great things happen when individuals are given the opportunity to bring themselves into their work. All employment will be based on merit, competence, performance, and business needs