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Machine Learning Engineer New Grad Jobs in Renton, WA

Hive

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving ... new technologies at all levels of the machine learning stack, and who move fast and take ownership ...

Hive

Machine Learning Engineer

Seattle, WA

$120K - $180K/yr

The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving ... new technologies at all levels of the machine learning stack, and who move fast and take ownership ...

Unitytech

Machine Learning Engineer

Bellevue, WA · On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... new parents through leave and family-care programs | Office food snacks | Mental Health and ...

Factspan Inc

Machine Learning Engineer

Seattle, WA · On-site

... new processes that help you succeed. With offices in Seattle, USA and Bangalore, India; we use a ... programming * Understanding of topic modelling, supervised & unsupervised machine learning * Plan ...

Adobe

Machine Learning Engineer

Seattle, WA · On-site

$93K - $125K/yr

If you enjoy shipping impactful, customer-facing features, experimenting with new technologies, and ... in machine learning engineering, applied research, or production ML systems. * Strong Python ...

Factspan Inc

Machine Learning Engineer

Seattle, WA · On-site

... new processes that help you succeed. With offices in Seattle, USA and Bangalore, India; we use a ... programming * Understanding of topic modelling, supervised & unsupervised machine learning * Plan ...

PitchBook Data

Machine Learning Engineer

Seattle, WA · On-site

Participate in the technical evaluation of candidates and help onboard new team members by ... machine learning engineering, with a strong focus on AI/ML applications in insight generation ...

Remitly Inc.

Staff Machine Learning Engineer

Seattle, WA · On-site

$208 - $260/hr

As a Staff Machine Learning Engineer in Remitly's Core AI/ML team, you'll work at the heart of our AI strategy. The Core AI/ML team is responsible for building the foundational machine learning ...

Qualtrics

Senior Machine Learning Engineer

Seattle, WA · On-site

$139K - $183K/yr

Implement new features and optimize existing ones to delight our customers * Balance technical ... Machine Learning Engineer, demonstrating a strong track record in designing, implementing, and ...

Qualtrics

Senior Machine Learning Engineer

Seattle, WA · On-site

$139K - $183K/yr

Implement new features and optimize existing ones to delight our customers * Balance technical ... Machine Learning Engineer, demonstrating a strong track record in designing, implementing, and ...

Hive

Senior Machine Learning Engineer

Seattle, WA

$160K - $250K/yr

Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best ... You can lead end to end development of new products * You are very knowledgeable in at least one ...

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All JobsMachine Learning Engineer New Grad JobsMachine Learning Engineer New Grad Jobs in Renton, WA

Machine Learning Engineer New Grad information

See Renton, WA salary details

$35.4K

$144.8K

$217.7K

How much do machine learning engineer new grad jobs pay per year?

As of Aug 12, 2026, the average yearly pay for machine learning engineer new grad in Renton, WA is $144,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,200.00 and $174,300.00 per year, depending on experience, location, and employer.

What is a machine learning engineer new grad?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

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

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a machine learning engineer new grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are popular job titles related to Machine Learning Engineer New Grad jobs in Renton, WA? For Machine Learning Engineer New Grad jobs in Renton, WA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer New Grad jobs in Renton, WA look for? The top searched job categories for Machine Learning Engineer New Grad jobs in Renton, WA are:
What cities near Renton, WA are hiring for Machine Learning Engineer New Grad jobs? Cities near Renton, WA with the most Machine Learning Engineer New Grad job openings:
Machine Learning Engineer New Grad jobs near you

Machine Learning Engineer

Hive

Seattle, WA • On-site

$120K - $180K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 14 days ago

Job description

About Hive
Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive's solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
Machine Learning Role
In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.
Responsibilities
  • Everything involved in applying a ML model to a production use case, including, designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed
  • Interface closely with the Backend and DevOps teams as well as with our internal data labeling services
  • Utilize OWASP top 10 techniques to secure code from vulnerabilities
  • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
  • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
  • Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Requirements
  • You have an undergraduate or graduate degree in computer science or similar technical field, with significant coursework in mathematics or statistics
  • You have 1-2 years industry machine learning experience
  • You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a personal project
  • You have strong experience with a high-level machine learning frameworks such as Tensorflow, Caffe, or Torch, and familiarity with the others
  • You know the ins and outs of Python, especially as it applies to the above ML frameworks
  • You are capable of quickly coding and prototyping data pipelines involving any combination of Python, Node, bash, and linux command-line tools, especially when applied to large datasets consisting of millions of files
  • You have a working knowledge of the following technologies, or are not afraid of picking it up on the fly: C++, Scala/Spark, SQL, Cassandra, Docker
  • You are up-to-date on the latest deep neural net research and architectures, both in understanding the theory and motivations behind the techniques, as well as how to implement them in the ML framework of your choice
  • You have great communication skills and ability to work with others
  • You are a strong team player, with a do-whatever-it-takes attitude

Who We Are
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.
Thank you for your interest in Hive and we hope to meet you soon!
The current expected base salary for this position ranges from $120,000 - $180,000. Actual compensation may vary depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
Employees are eligible to participate in a number of Company-sponsored benefits, including health, vision and dental insurance. Employees are also eligible to participate in a gym membership as part of our commitment to employee wellness. In addition, employees will be entitled to paid vacation in accordance with the Company's vacation policy.
Hired applicant may receive an equity grant in the form of an option to purchase stock in the future for a specified price.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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