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Urgently Hiring Machine Learning Engineer New Grad Jobs in California

Quantcast

Machine Learning Engineer

San Francisco, CA · On-site

$151.30 - $178/hr

As a Machine Learning Engineer you care about the health and maintainability of our systems and the ... New Grad to 1 year of experience. * You must be work-authorized in the United States without the ...

New

Quora

$139K - $168K/yr

Identify new opportunities to apply Machine Learning to different parts of the Poe product * Work with other engineers to implement algorithms and systems in an efficient way * Take end-to-end ...

Quora

$139K - $168K/yr

Identify new opportunities to apply Machine Learning to different parts of the Poe product * Work with other engineers to implement algorithms and systems in an efficient way * Take end-to-end ...

Quora

$139K - $168K/yr

Identify new opportunities to apply Machine Learning to different parts of the Poe product * Work with other engineers to implement algorithms and systems in an efficient way * Take end-to-end ...

Quora

$139K - $168K/yr

Identify new opportunities to apply Machine Learning to different parts of the Poe product * Work with other engineers to implement algorithms and systems in an efficient way * Take end-to-end ...

Quora

$139K - $168K/yr

Identify new opportunities to apply Machine Learning to different parts of the Poe product * Work with other engineers to implement algorithms and systems in an efficient way * Take end-to-end ...

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Urgently Hiring Machine Learning Engineer New Grad information

What are some common challenges new graduates face when starting as a machine learning engineer, and how can they overcome them?

New graduates entering Machine Learning Engineering often find it challenging to bridge the gap between academic knowledge and real-world applications, especially when dealing with large, messy datasets and ambiguous business objectives. Collaborating effectively with cross-functional teams—such as data engineers, product managers, and software developers—can also be a learning curve, as clear communication and understanding of broader project goals are essential. To overcome these challenges, new grads should seek mentorship, actively participate in code reviews, and focus on continuously improving their coding and problem-solving skills through hands-on projects. Embracing feedback and staying updated with industry best practices will also accelerate their professional growth.

What are the key skills and qualifications needed to thrive as a machine learning engineer new grad, and why are they important?

To thrive as a Machine Learning Engineer New Grad, you need a solid background in computer science, statistics, and programming (especially Python), typically supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and version control systems is commonly required. Strong problem-solving abilities, teamwork, and effective communication help new grads excel in collaborative and fast-evolving environments. These skills ensure the ability to build, deploy, and continually improve machine learning models that solve real-world problems.

What does a machine learning engineer new grad do?

An entry-level Machine Learning Engineer is responsible for designing, developing, and deploying machine learning models to solve real-world problems. They work closely with data scientists, software engineers, and product teams to collect and preprocess data, select appropriate algorithms, and integrate models into production systems. New grads in this role often focus on learning industry best practices, improving model performance, and collaborating on cross-functional projects under the guidance of more senior engineers. They may also participate in code reviews, documentation, and continuous learning to stay updated with advancements in machine learning.
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Urgently Hiring Machine Learning Engineer New Grad jobs near you

Machine Learning Engineer

Quantcast

San Francisco, CA • On-site

$151.30 - $178/hr

Other

Posted yesterday

New

Job description

At Quantcast, we don't just build advertising technology, we revolutionize how it works. Our AI-powered Demand Side Platform (DSP) connects the world's most ambitious marketers with their ideal audiences across the open internet, delivering results that actually move the needle. Since 2006, we've been the industry's trailblazer, launching the first AI-powered measurement platform for publishers and the first AI-driven DSP. Our AI doesn't just optimize—it delivers the measurable outcomes that matter most to our clients, giving them the competitive edge they need in a crowded marketplace. Ready to join the team that's defining the future of digital advertising?

The Modeling team is responsible for Machine Learning (ML) systems at Quantcast. We build and maintain multiple ML products that price millions of bid requests per second in a real-time auction environment to maximize advertiser outcomes. For each bid our models predict age, gender, viewability, fraud, advertiser relevance and many more characteristics. Using NLP, clustering and LLMs we build topics in multiple languages to help our advertisers target customers interested in relevant content.

As a Machine Learning Engineer you care about the health and maintainability of our systems and the velocity of the engineering teams. You explore data, research new algorithms, experiment with proof of concepts, and build out scalable real-time production systems to tackle challenges the company faces.

What you'll do:
  • Design, code, test, and debug ML applications and constantly improve large-scale global systems that respond to millions of real-time requests per second efficiently.
  • Run Machine Learning experiments to test new modeling ideas.
  • Write clean, efficient, and maintainable code using industry best practices.
  • Collaborate closely with engineering teams, to deliver high-quality ML products. Participate in code reviews and provide constructive feedback to team members.
  • Identify performance bottlenecks and optimize system components for enhanced scalability.
  • Keep up to date with developments in machine learning outside the company.
Who you are:
  • New Grad to 1 year of experience.
  • You must be work-authorized in the United States without the need for employer sponsorship.
  • This is a hybrid role based in our San Francisco office. To ensure a manageable commute for in-office days, candidates must reside within a 60-mile radius of San Francisco, CA. No relocation candidates at this time.
  • Fluency in Python, Java or similar programming languages.
  • Strong skills in mathematics and statistics.
  • Working knowledge of ML algorithms such as classification, control systems, optimization, clustering, LLMs or recommendation systems.
  • An interest in distributed system and software design, concurrent algorithms, data structures, and software engineering.

The expected base salary range for this role is $151,300 to $178,000.

At Quantcast, we craft offers that reflect your unique skills, expertise, and geographic location. On top of a competitive salary, this position includes a performance bonus, equity, and a comprehensive benefits package. For more details, visit our Careers Page and see how we support our team. We are headquartered in San Francisco with offices around the world. Quantcast is an Equal Opportunity Employer. Please see the Applicant Privacy Notice for details on our applicant privacy policy. Join the team that unlocks potential.

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