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Google Machine Learning Engineer Jobs (NOW HIRING)

Willing Tech

Machine Learning Engineer

San Francisco, CA · On-site +1

$172K - $384K/yr

They're now looking for a Machine Learning Engineer to help build the next generation of AI-powered tools that generate structured visuals from scientific inputs . If you're excited by real-world ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... Experience with cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure, including ...

iHerb

Principal Machine Learning Engineer

$138K - $185K/yr

Experience with Google Business Suite (Gmail, Drive, Docs, Sheets, Forms) preferred Experience Requirements: Generally requires a minimum of two (2) years relevant experience in applied machine ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... Experience with cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure, including ...

Eccalon LLC

Machine Learning Engineer

Detroit, MI

Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No clearance required, must be clearable. The Machine Learning Engineer will be an essential member of the ...

NTENT

Machine Learning Engineer

Carlsbad, CA

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Spotify

Machine Learning Engineer

They are seeking a Machine Learning Engineer to build systems that analyze the performance of music promotions, providing actionable insights for creators and partners. Responsibilities : • ...

Cymertek

Machine Learning Engineer

San Antonio, TX · On-site

Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming ...

Spotify

Machine Learning Engineer

Spotify is a leading music streaming platform, and they are seeking a Machine Learning Engineer to join their Music Promotion team. The role involves building systems to understand the performance of ...

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All JobsGoogle Machine Learning Engineer Jobs

Google Machine Learning Engineer information

See salary details

$31.5K

$128.8K

$193.5K

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

As of Jul 14, 2026, the average yearly pay for google machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Google Machine Learning Engineer position, and why are they important?

To thrive as a Google Machine Learning Engineer, you need strong expertise in mathematics, statistics, programming (especially Python or C++), and a solid background in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms (like Google Cloud), and advanced certifications can be highly beneficial. Excellent problem-solving, teamwork, and communication skills help you collaborate across teams and explain complex models to stakeholders. These skills are essential to driving innovation, building scalable solutions, and ensuring impactful results in a fast-paced, research-driven environment.

What is a Google Machine Learning Engineer job?

A Google Machine Learning Engineer designs, builds, and optimizes machine learning models to improve Google's products and services. They work with large datasets, implement algorithms, and deploy scalable AI systems. Collaboration with data scientists, software engineers, and product teams is essential to integrate models into real-world applications. Strong knowledge of Python, TensorFlow, and cloud computing is often required. This role focuses on both research and practical implementation to enhance automation and decision-making across Google products.

What types of projects and collaborations can Google Machine Learning Engineers expect to be involved in?

Google Machine Learning Engineers often contribute to diverse projects, such as developing next-generation search algorithms, optimizing user experiences across products, or creating scalable machine learning systems for internal and external clients. The role frequently involves collaborating with data scientists, product managers, software engineers, and researchers to define project goals and deliver impactful solutions. You can expect to participate in code reviews, prototype new models, and provide expert input during technical discussions. This collaborative, interdisciplinary approach ensures innovative outcomes and offers ongoing opportunities for professional growth and skill development.

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Google Machine Learning Engineer jobs near you

Machine Learning Engineer

Willing Tech

San Francisco, CA • On-site, Remote

$172K - $384K/yr

Full-time

Posted 6 days ago

Job description

This range is provided by Willing Tech. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$200,000.00/yr - $300,000.00/yr

Direct message the job poster from Willing Tech

Machine Learning Engineer – Scientific Visualisation Platform

Location: Remote (US/Canada)

Sector: Scientific AI / SaaS

We’re partnering with a pioneering SaaS company at the forefront of AI for scientific communication. Their platform is redefining how scientists present, understand, and share complex biological research—turning experimental protocols, data, and text into clear, editable visuals that accelerate discovery and decision-making.

They're now looking for a Machine Learning Engineer to help build the next generation of AI-powered tools that generate structured visuals from scientific inputs. If you’re excited by real-world, high-impact problems and want to apply machine learning at the intersection of computer vision, scientific research, and design, this is your opportunity.

What You’ll Do

  • Develop machine learning systems that generate structured vector graphics (e.g., SVG/JSON) from biological and textual inputs.
  • Design novel ML architectures focused on scientific diagram generation and natural language-guided editing.
  • Apply the latest in generative AI, computer vision, and multimodal learning to scientific contexts.
  • Collaborate with ML researchers, engineers, and product designers to move from experimentation to scalable deployment.
  • Ensure the visual and biological accuracy, scalability, and editability of AI-generated outputs.

Ideal Candidate

  • 5+ years of experience in machine learning, particularly in computer vision, NLP, or multimodal models.
  • Hands-on experience building and deploying ML systems in production (preferably at a SaaS or product company).
  • Strong coding skills in Python and experience with frameworks like PyTorch, TensorFlow, or JAX.
  • Comfortable with open-ended, technically ambiguous challenges—especially in scientific or research-heavy domains.
  • Bonus: Experience with SVG or vector graphics generation, or a background in life sciences or bio-related research.

Why Join

  • Be one of the first ML hires tackling a completely novel problem in scientific visualisation.
  • Work in a fully remote setup with a smart, mission-aligned team spread across the US and Canada.
  • Shape the technical direction of a product used and loved by scientists around the globe.
  • Join a VC-backed company with an established user base, strong product-market fit, and a clear mission: make science more accessible and actionable.

Interview Insight

We’re looking for engineers who can demonstrate both depth and practicality. Expect conversations around:

  • Your experience with multimodal learning (e.g., combining visual + textual data).
  • Projects where you worked with or generated SVG/vector graphics.
  • The most impactful ML model you’ve developed—metrics, use cases, and why it mattered.

Interested? Let’s connect.

Apply now or reach out directly for a confidential conversation.

Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionAnalyst, Consulting, and Engineering
  • IndustriesSoftware Development, Biotechnology Research, and Data Infrastructure and Analytics

Referrals increase your chances of interviewing at Willing Tech by 2x

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