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Remote Google Machine Learning Engineer Jobs in Indiana

micro1 AI

Engineering AI Evaluator (PhD)

Indianapolis, IN · Remote

$80 - $90/hr

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Recruitment Room

$20/hr

Remote Compensation: $20 per hour Openings: 600 Role Overview We are seeking detail-oriented Data ... Proficiency in data annotation, labeling, or preparation for machine learning * Exceptional ...

CMP.jobs

Sr DevOps Engineer

Indianapolis, IN · Remote

$123K - $158K/yr

Sr. DevOps Engineer 100% Remote Position We have built a cloud-based policy administration platform ... Google Cloud Platform services as needed ● Identify and solve problems related to both ...

CMP.jobs

Senior DevOps Engineer

Indianapolis, IN · Remote

$123K - $158K/yr

DevOps Engineer 100% Remote Position We have built a cloud-based policy administration platform ... Google Cloud Platform services as needed ● Identify and solve problems related to both ...

UVeye

Field Service Engineer - IN

Zionsville, IN · On-site +1

$35 - $38/hr

... vision, machine learning, and generative AI within the automotive sector. With over $380M in ... We're looking for a Field Service Engineer to join our growing US Operations Team. In this hands-on ...

Crowe LLP

Senior AI Engineer

South Bend, IN · On-site +1

$102K - $140K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning ...

Crowe LLP

Senior AI Engineer

Indianapolis, IN · On-site +1

$99K - $137K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning ...

FANUC America Corporation

Engineer

Brook, IN · On-site +1

$83K - $135K/yr

This is a fully remote position ideally based within the corridor between Mason, Ohio and Boston ... Experience with other machine vision systems. * Experience with AutoCAD, 2D, SolidWorks, and 3D ...

Harris

This is a role for engineers who enjoy asking "why," digging into complex problems, and continuously learning. This remote role welcomes candidates anywhere in the US. Preference will be given to ...

Varsity Tutors

Data Science Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

West Lafayette, IN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Indianapolis, IN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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Remote Google Machine Learning Engineer information

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, and why are they important?

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 are the most commonly searched types of Google Machine Learning Engineer jobs in Indiana? The most popular types of Google Machine Learning Engineer jobs in Indiana are:
What are popular job titles related to Remote Google Machine Learning Engineer jobs in Indiana? For Remote Google Machine Learning Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Google Machine Learning Engineer jobs in Indiana look for? The top searched job categories for Remote Google Machine Learning Engineer jobs in Indiana are:
What cities in Indiana are hiring for Remote Google Machine Learning Engineer jobs? Cities in Indiana with the most Remote Google Machine Learning Engineer job openings:
Remote Google Machine Learning Engineer jobs near you
Technical Content Expert - Advanced Engineering

Technical Content Expert - Advanced Engineering

micro1 AI

Indianapolis, IN • Remote

$80 - $90/hr

Part-time

Posted 15 days ago

Job description

Role Title: PhD Engineer (Electrical, Mechanical, Chemical)


Role Type: Contractor


Location: Remote


micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a high-impact customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Deliver authoritative written responses to complex engineering prompts in your area of expertise
  2. Review and interpret scientific literature to provide contextually accurate and current insights
  3. Design and document realistic experimental scenarios based on advanced engineering principles
  4. Analyze data and interpret results to inform AI training datasets with precision
  5. Apply sophisticated calculus and quantitative methodologies to problem-solving tasks
  6. Ensure clarity, accuracy, and completeness of all submitted materials based on provided guidelines
  7. Collaborate with project coordinators to refine prompt response quality as needed


Preferred Qualifications

  1. PhD in Electrical, Mechanical, or Chemical Engineering
  2. Demonstrated expertise in calculus, data analysis, research methodology, and experimental design
  3. Exceptional written and verbal communication skills with the ability to convey complex concepts clearly
  4. Strong literature review capabilities and familiarity with synthesizing scientific knowledge
  5. Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required)
  6. Proven ability to produce "golden response" level deliverables with accuracy and completeness
  7. Detail-oriented mindset and commitment to high-quality, impactful contributions

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