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Remote Machine Learning Engineer New Grad Jobs in California

Uber

Staff Machine Learning Engineer

San Francisco, CA · On-site +1

... new abstractions for scalable machine learning.**Basic Qualifications**- PhD or equivalent in Computer Science, Engineering, Mathematics or related field- Programming language (e.g C, C++, Java ...

AppFolio

Sr. Machine Learning Engineer

San Diego, CA · Remote

$111.30K - $152.80K/yr

Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in shaping Realm-X and the future of AI at AppFolio. This is a high-impact position focused on defining ...

AppFolio

Sr. Machine Learning Engineer

Santa Barbara, CA · Remote

$112.80K - $154.80K/yr

Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in shaping Realm-X and the future of AI at AppFolio. This is a high-impact position focused on defining ...

AppFolio

Sr. Machine Learning Engineer

Goleta, CA · Remote

$112.80K - $154.80K/yr

Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in shaping Realm-X and the future of AI at AppFolio. This is a high-impact position focused on defining ...

Shipt

Staff Machine Learning Engineer

San Francisco, CA · On-site +1

Impact As a Staff Machine Learning Engineer on Shipt's Personalization Platform team you will drive ... new earning opportunities. At Shipt, we aim to put our team first to boost a sense of belonging ...

New

AppFolio

Sr. Machine Learning Engineer

San Francisco, CA · Remote

$123.10K - $169.10K/yr

Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in shaping Realm-X and the future of AI at AppFolio. This is a high-impact position focused on defining ...

AppFolio

Sr. Machine Learning Engineer

CA · Remote

$123.10K - $169.10K/yr

Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in shaping Realm-X and the future of AI at AppFolio. This is a high-impact position focused on defining ...

AppFolio

Sr. Machine Learning Engineer

San Diego, CA · Remote

$111.30K - $152.80K/yr

Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in shaping Realm-X and the future of AI at AppFolio. This is a high-impact position focused on defining ...

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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 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 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 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
Senior Machine Learning Engineer

Senior Machine Learning Engineer

The Voleon Group

Berkeley, CA • On-site, Remote

$290K - $395K/yr

Full-time

Posted 9 days ago

Job description

Voleon is a technology company that applies state-of-the-art machine learning techniques to real-world problems in finance. For more than a decade, we have led our industry and worked at the frontier of applying machine learning to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.
In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, catered lunches, and more.
As a Senior Machine Learning Engineer on one of Voleon's Research teams, you will partner directly with research staff to advance our quantitative trading strategies. You will translate novel research ideas into production-quality code, build and maintain the data pipelines and modeling infrastructure that underpin our strategies, and apply your own strong mathematical intuition to solve open-ended technical challenges.
This role lives at the boundary of research and engineering. You will be expected to understand the statistical and mathematical concepts your research partners work with, contribute meaningfully to technical discussions about model design and evaluation, and ensure that the resulting systems are performant, reliable, and maintainable. You will work at the intersection of Computer Science, Mathematics, and Statistics - building high-performance tools that enable world-class research while maintaining a high engineering standard.
Responsibilities
  • Partner with PhD researchers to design, implement, and productize machine learning models that drive quantitative trading strategies
  • Develop and maintain complex data pipelines, including data ingestion, feature engineering, validation, and quality monitoring
  • Translate research prototypes and novel ideas into performant, well-tested, production-ready code
  • Build extensible tools and frameworks that accelerate the model development and experimentation lifecycle
  • Supervise, understand, and remediate subtle data quality issues across both research and production environments
  • Proactively lead projects from requirements through delivery, making autonomous decisions about scope, dependencies, and trade-offs, with an emphasis on long-term maintainability
  • Coordinate and contribute to deployment efforts while guiding junior engineers and researchers; align with research and engineering stakeholders on ownership, execution, and prioritization
  • Foster engineering consistency, standards, and best practices within Research

Requirements
  • Bachelor's degree (or higher) in Computer Science, Applied Mathematics, Statistics, or a related quantitative field
  • 5+ years of professional software engineering experience, with strong CS fundamentals (data structures, algorithms, systems design)
  • Demonstrated mathematical maturity - comfort with the concepts and notation used in statistics, linear algebra, optimization, and probability
  • Deep proficiency in Python; experience with R and/or C/C++ is a strong plus
  • Extensive experience with numerical and data science libraries (e.g., NumPy, Pandas, SciPy, scikit-learn, PyTorch, TensorFlow, or similar)
  • Proven experience building or maintaining machine learning systems in a distributed computing environment
  • Proficiency developing in a Linux environment with attention to performance, correctness, and reproducibility
  • Exceptional attention to detail, particularly when working with imperfect or heterogeneous data
  • Strong verbal and written communication skills, and the ability to collaborate effectively with researchers whose primary expertise is not software engineering

Preferred Qualifications
  • Experience with experiment management, model evaluation pipelines, or ML workflow orchestration
  • Familiarity with modern ML/AI infrastructure patterns (model serving, feature stores, distributed training)
  • Experience with performance profiling and optimization of numerical or modeling code
  • Prior exposure to financial data, time-series analysis, or quantitative research environments

"Friends of Voleon" Candidate Referral Program
If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program.
Equal Opportunity Employer
The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
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About Voleon Group

Sourced by ZipRecruiter

Industry

Investment management and consulting services

Company size

11 - 50 Employees

Headquarters location

Berkeley, CA, US

Year founded

2007

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