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Remote Machine Learning Engineer New Grad Jobs in California

Apple

Machine Learning Engineer

Cupertino, CA · On-site +1

$187K - $220K/yr

Develop machine learning models to analyze the distribution of computer vision data. Develop data ... Engineering or related field and two years of experience in the job offered or related occupation.

Elicit

Machine Learning Engineer

Oakland, CA · On-site +1

... role As a Machine Learning Engineer at Elicit, you'll build products and workflows that help ... Want to build new kinds of software made possible by language models * Are excited to use AI tools ...

Care.coach

Lead Machine Learning Engineer

Millbrae, CA · On-site +1

$119K - $156K/yr

Doctorate in a related field * 8+ years of experience (including any applicable work in grad school ... machine learning applications for practical use * 2+ years in an agile software development ...

EvenUp Inc

Staff Machine Learning Engineer

San Francisco, CA · On-site +1

$212K - $301K/yr

Act as the bridge between research and production - ensuring new techniques get integrated into ... Open to remote candidates or 3 days a week hybrid from our Toronto or San Francisco hubs. Notice to ...

New

Omnissa

Staff Machine Learning Engineer

Mountain View, CA · On-site +1

$162K - $342K/yr

As a Staff Machine Learning Engineer , you will design, build, and deploy machine learning systems that power predictive analytics, personalization, automation, and intelligent platform behaviors.You ...

Adobe

Staff Machine Learning Engineer

San Jose, CA · On-site +1

As a Staff Machine Learning Engineer (MLE 50), you will design, build, and deploy semantic matching ... new innovations into Adobe products. What You Need to Succeed * Strong experience building and ...

AbbVie

Lead Machine Learning Engineer

San Diego, CA · On-site +1

$124K/yr

Innovate with new approaches, staying abreast of current research and latest technologies in the ... engineer specialized building Machine Learning systems * 2+ years of technical leadership ...

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Remote Machine Learning Engineer New Grad information

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer New Grad, and why are they important?

To excel as a Remote Machine Learning Engineer New Grad, you need a solid grounding in computer science, statistics, and machine learning algorithms, typically supported by a relevant degree. Familiarity with programming languages like Python, machine learning libraries (e.g., TensorFlow, PyTorch), and experience using version control systems such as Git are essential. Strong problem-solving skills, effective communication, and the ability to work independently are standout soft skills for this remote role. These skills ensure you can develop robust ML models, collaborate efficiently with distributed teams, and deliver impactful solutions in a dynamic environment.

What does a Remote Machine Learning Engineer New Grad do?

A Remote Machine Learning Engineer New Grad is an entry-level professional who designs, builds, and deploys machine learning models while working from a remote location. Their responsibilities typically include preprocessing data, developing algorithms, and collaborating with other team members through digital tools. As a new graduate, they often focus on learning industry best practices, writing code, testing models, and updating existing systems. Strong programming skills, problem-solving ability, and communication are essential for success in this role.

What are some common challenges faced by new graduates starting as remote machine learning engineers, and how can they overcome them?

As a new graduate starting remotely as a machine learning engineer, one common challenge is effectively collaborating with team members and mentors when you can't interact in person. You may also face difficulties in accessing large datasets or compute resources, which can slow down experimentation. To overcome these challenges, it's important to communicate proactively using team channels, schedule regular check-ins with your mentor, and familiarize yourself with your company's remote infrastructure and support systems. Building a habit of documenting your work and asking for feedback early can also accelerate your learning and integration into the team.
What are the most commonly searched types of Machine Learning Engineer New Grad jobs in California? The most popular types of Machine Learning Engineer New Grad jobs in California are:
What cities in California are hiring for Remote Machine Learning Engineer New Grad jobs? Cities in California with the most Remote Machine Learning Engineer New Grad job openings:
Remote Machine Learning Engineer New Grad jobs near you
Machine Learning Engineer

Machine Learning Engineer

Apple

Cupertino, CA • On-site, Remote

$187K - $220K/yr

Full-time

Medical, Dental, Retirement

Re-posted 9 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers

Job description

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn't have imagined, and now, can't imagine living without. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do.
Description
APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Collaborate with cross functional teams to develop computer vision data generation solutions. Design and implement computer vision and deep learning-based algorithms to generate data ground truth. Design and implement front-end software for web-based data management applications. Design and implement back-end software for cloud-based data processing. Implement and maintain software pipeline to analyze computer vision data integrity. Develop online data dashboard for data tracking and analytics. Develop machine learning models to analyze the distribution of computer vision data. Develop data annotation tools with integrated machine learning models for efficient data annotation. 40 hours/week. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $187,741 - $220,900/yr and your base pay will depend on your skills, qualifications, experience, and location.
PAY & BENEFITS: Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits: https://www.apple.com/careers/us/benefits.html.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Preferred Qualifications
N/A
Minimum Qualifications
Master’s degree or foreign equivalent in Computer Science, Computer Engineering or related field and two years of experience in the job offered or related occupation.
Experience and/or education must include:
Utilizing Python, Java, SQL DB, and Dagster to design and implement data curation and data dashboard software
Utilizing Python, Pytorch, Docker, and cloud compute to design and implement machine learning (ML) powered data filtering and analysis pipeline
Utilizing the knowledge of ML and computer vision to develop ML models and training solutions
Utilizing ML knowledge, Python, and Pytorch to implement ML training and evaluation software and infrastructure
Designing and implementing computer vision data curation algorithms, including representation learning, confident learning, out of distribution detection, and 3D reconstruction.
Experience in vision data processing tools including scikit-image and OpenCV.
Experience in data pipeline, modeling, database and query tools, including Dagster and PostgreSQL.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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