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Entry Level Machine Learning Engineer Jobs in Dublin, CA

Relace

Machine Learning Engineer

San Francisco, CA · On-site

The Role We're looking for a Machine Learning Engineer who loves getting close to the metal. This is a hands-on engineering role focused on making models faster, more efficient, and more reliable ...

PayPal

Machine Learning Engineer

San Jose, CA

$117K - $138K/yr

This job will assist in designing, developing, and implementing machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and ...

Adobe

Machine Learning Engineer 4

San Jose, CA · On-site

As a Senior Machine Learning Engineer (MLE 40), you will design, build, and deploy models that understand text, images, documents, and other content modalities to power search, recommendations, and ...

Capable

Machine Learning Engineer

San Francisco, CA · On-site

$150K - $240K/yr

About the Role You will build machine-learning systems that remove real bottlenecks from drug discovery and development. The role spans research and engineering: identifying valuable problems ...

New

Capable

Machine Learning Engineer

San Francisco, CA · On-site

$150 - $230/hr

About the Role You will build machine-learning systems that remove real bottlenecks from drug discovery and development. The role spans research and engineering: identifying valuable problems ...

New

Veryfi

Sr. Machine Learning Engineer

San Mateo, CA · On-site

$139K - $184K/yr

Veryfi is seeking a Sr. Machine Learning Engineer who will sit at the intersection of software engineering and data science. The role involves leveraging big data tools to redefine raw data into ...

Elicit

Machine Learning Engineer

Oakland, CA · On-site +1

We invite you to help us build that future. (See how people use Elicit today on Twitter; explore our vision in the roadmap.) About the role As a Machine Learning Engineer at Elicit, you'll build ...

nudge

Machine Learning Engineer

San Francisco, CA · On-site

Define technical strategy and best practices across machine learning, modeling, simulation, and signal processing infrastructure * Mentor and elevate other engineers through technical leadership ...

Nudge

Machine Learning Engineer

San Francisco, CA · On-site

Define technical strategy and best practices across machine learning, modeling, simulation, and signal processing infrastructure * Mentor and elevate other engineers through technical leadership ...

Stripe

Machine Learning Engineer

South San Francisco, CA · On-site +1

$212K - $318K/yr

... engineering constraints. * Design systems to speed up the time from idea to deployment of new ... Designing, training and evaluating machine learning models; * Productionizing and deploying machine ...

Stripe

Machine Learning Engineer

South San Francisco, CA · On-site

$212K - $318K/yr

... engineering constraints. * Design systems to speed up the time from idea to deployment of new ... Designing, training and evaluating machine learning models; * Productionizing and deploying machine ...

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All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Dublin, CA

Entry Level Machine Learning Engineer information

See Dublin, CA salary details

$33.8K

$78.1K

$132.9K

How much do entry level machine learning engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for entry level machine learning engineer in Dublin, CA is $78,116.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $88,400.00 per year, depending on experience, location, and employer.

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 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 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 job categories do people searching Entry Level Machine Learning Engineer jobs in Dublin, CA look for?

The top searched job categories for Entry Level Machine Learning Engineer jobs in Dublin, CA are:

What cities near Dublin, CA are hiring for Entry Level Machine Learning Engineer jobs?

Cities near Dublin, CA with the most Entry Level Machine Learning Engineer job openings:

Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Dublin, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $78,116 per year, or $37.6 per hour.

Machine Learning Engineer

Relace

San Francisco, CA • On-site

Full-time

Re-posted 17 days ago

Job description

About Us
Relace is building the models and infrastructure that code agents reach for. We power the fastest model on OpenRouter (10,000 tok/s) and deliver optimized small language models designed for retrieval, application, and core code generation functions.
Our technology supports some of the world's fastest-moving companies - including Lovable, Figma, and Vercel - as they deploy and scale code generation to hundreds of millions of users. We recently raised our Series A from a16z, and we're growing quickly.
Our team is made up of mathematicians, physicists, and computer scientists who are deeply passionate about their craft. If you thrive on ambitious technical problems, care about elegant systems design, and want to build the foundation of how code gets written at scale, this is the place for you.
The Role
We're looking for a Machine Learning Engineer who loves getting close to the metal. This is a hands-on engineering role focused on making models faster, more efficient, and more reliable through low-level optimizations and smart systems design.
The ideal candidate is excited by CUDA kernels, memory layouts, GPU scheduling, and squeezing performance out of complex training and inference workloads. They should be just as comfortable optimizing compute and networking paths as they are working alongside research teams to productionize new architectures.
This is a role for someone who enjoys deep performance tuning, understands the realities of running large-scale ML systems, and thrives in fast-moving, high-leverage environments.
Requirements
  • Strong background in systems-level ML engineering.
  • Experience with CUDA, GPU kernel optimization, and performance tuning.
  • Fluency in Python and at least one systems language (C++ or Rust preferred).
  • Familiarity with distributed training frameworks (e.g., PyTorch, JAX, DeepSpeed, or similar).
  • Experience working with large-scale training or inference infrastructure.
  • Understanding of memory management, parallelization, and hardware-aware model optimization.
  • 2+ years of experience working in ML infrastructure or performance-critical environments.
  • Willingness to work in-person from our SF office in FiDi.

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