Bee Genius is building the future of work and is seeking an AI/Machine Learning Engineer to join their team. The role involves developing and implementing machine learning models and algorithms to ...
Bee Genius is building the future of work and is seeking an AI/Machine Learning Engineer to join their team. The role involves developing and implementing machine learning models and algorithms to ...
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Posted today
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$120K - $180K/yr
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$90 - $130/hr
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... in machine learning work streams including but not limited to semantic segmentation, object detection and classification. • Work closely with Client and data engineers in end-to-end machine ...
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Machine Learning Engineer
$140K - $220K/yr
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Machine Learning Engineer
$140K - $220K/yr
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Entry Level Machine Learning Engineer information
See Mountain View, CA salary details
$35.4K - $44.8K
2% of jobs
$44.8K - $54.3K
10% of jobs
$60.5K is the 25th percentile. Wages below this are outliers.
$54.3K - $63.7K
20% of jobs
$63.7K - $73.1K
13% of jobs
The median wage is $75.5K / yr.
$73.1K - $82.6K
21% of jobs
$88.7K is the 75th percentile. Wages above this are outliers.
$82.6K - $92K
14% of jobs
$92K - $101.5K
7% of jobs
$101.5K - $110.9K
5% of jobs
$110.9K - $120.3K
3% of jobs
$120.3K - $129.8K
2% of jobs
$129.8K - $139.2K
2% of jobs
$35.4K
$81.8K
$139.2K
How much do entry level machine learning engineer jobs pay per year?
As of Aug 7, 2026, the average yearly pay for entry level machine learning engineer in Mountain View, CA is $81,825.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $92,600.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?
To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.
What are some typical projects or tasks an entry level machine learning engineer might work on?
As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.
What is an entry level machine learning engineer?
An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.
What are the most commonly searched types of Machine Learning Engineer jobs in Mountain View, CA? The most popular types of Machine Learning Engineer jobs in Mountain View, CA are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Mountain View, CA? For Entry Level Machine Learning Engineer jobs in Mountain View, CA, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Mountain View, CA look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Mountain View, CA are:
What cities near Mountain View, CA are hiring for Entry Level Machine Learning Engineer jobs? Cities near Mountain View, CA with the most Entry Level Machine Learning Engineer job openings:
Full-time
Re-posted 27 days ago
Job description
Job Summary:
Bee Genius is building the future of work and is seeking an AI/Machine Learning Engineer to join their team. The role involves developing and implementing machine learning models and algorithms to address complex business challenges.
Responsibilities:
• Design and develop machine learning models and algorithms
• Train and evaluate models using large datasets
• Optimize and fine-tune models for performance and accuracy
• Collaborate with data scientists and software engineers to integrate models into production systems
• Stay updated with the latest advancements in AI and machine learning
• Ensure the ethical use of AI technologies
Qualifications:
Required:
• Master's or Ph.D. in Computer Science, Data Science, or a related field
• Strong programming skills in Python or R
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch)
• Knowledge of statistical analysis and data visualization techniques
• Understanding of deep learning architectures and algorithms
• Excellent problem-solving and critical-thinking skills
Company:
We are a leading technology, digital, and outsourcing services company. Founded in 2014, the company is headquartered in , , with a team of 2-10 employees. The company is currently Early Stage.
Bee Genius is building the future of work and is seeking an AI/Machine Learning Engineer to join their team. The role involves developing and implementing machine learning models and algorithms to address complex business challenges.
Responsibilities:
• Design and develop machine learning models and algorithms
• Train and evaluate models using large datasets
• Optimize and fine-tune models for performance and accuracy
• Collaborate with data scientists and software engineers to integrate models into production systems
• Stay updated with the latest advancements in AI and machine learning
• Ensure the ethical use of AI technologies
Qualifications:
Required:
• Master's or Ph.D. in Computer Science, Data Science, or a related field
• Strong programming skills in Python or R
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch)
• Knowledge of statistical analysis and data visualization techniques
• Understanding of deep learning architectures and algorithms
• Excellent problem-solving and critical-thinking skills
Company:
We are a leading technology, digital, and outsourcing services company. Founded in 2014, the company is headquartered in , , with a team of 2-10 employees. The company is currently Early Stage.