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Remote Machine Learning Engineer New Grad Jobs in California

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Machine Learning Engineer

Carlsbad, CA · On-site +1

$101.10K - $138.50K/yr

About the Role We're looking for a Machine Learning Engineer to join our Insurance AI team. You'll ... You communicate clearly, collaborate well with remote teams, and care about shipping things that ...

Nearmap

Machine Learning Engineer

Carlsbad, CA · On-site +1

$101.10K - $138.50K/yr

About the Role We're looking for a Machine Learning Engineer to join our Insurance AI team. You'll ... You communicate clearly, collaborate well with remote teams, and care about shipping things that ...

Elicit

Machine Learning Engineer

Oakland, CA · On-site +1

Want to build new kinds of software made possible by language models * Are excited to use AI tools ... Location and travel We have a lovely office in Oakland, CA, but we also have remote employees ...

Care.coach

Lead Machine Learning Engineer

Millbrae, CA · On-site +1

$119K - $156.70K/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 ...

Twilio

Machine Learning Engineer

San Francisco, CA · Remote

Our dedication to remote-first work, and strong culture of connection and global inclusion means ... As we continue to revolutionize how the world interacts, we're acquiring new skills and experiences ...

DocuSign

Senior Machine Learning Engineer

San Francisco, CA · On-site +1

$186.10K - $300.55K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... California: $186,100.00 - $300,550.00 base salary Washington, Maryland, New Jersey and New York ...

GoFundMe

Senior Machine Learning Engineer

San Francisco, CA · On-site +1

$123.10K - $169.10K/yr

Lead initiatives to optimize the performance and quality of ML systems using new or established ... Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We ...

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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
Machine Learning Engineer

Machine Learning Engineer

Swish Analytics

San Francisco, CA • Remote

$160K/yr

Full-time

Posted 11 days ago

Job description

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and enterprise clients.

The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch. They can assist with optimizing the different aspects of the modeling process (Data Validation, Data Visualization, Data Stores & Structures, Feature Engineering, Model Training & Evaluation, Deployments) and improving a variety of Swish products. They will know when to “roll your own” and when to outsource a particular step in the modeling process. They will engineer custom solutions to solve complex data-related sports challenges across multiple leagues.

This position is 100% remote

Responsibilities:

  • Design, prototype, implement, evaluate, optimize systems to generate sports datasets and predictions with high accuracy and low latency.

  • Evaluate internal modeling frameworks and tools to optimize data scientist's modeling workflow.

  • Build, test, deploy and maintain production systems.

  • Work closely with DevOps and Data Engineering teams to assist with implementation, optimization and scale workloads on Kubernetes using CI/CD, automation tools and scripting languages.

  • Support maintenance and optimization of cloud-native EDW and ETL solutions.

  • Maintain and promote best practices for software development, including deployment process, documentation, and coding standards.

  • Experience applying large scale data processing techniques to develop scalable and innovative sports betting products.

  • Use extensive experience to build, test, debug, and deploy production-grade components.

  • Experience applying large scale data processing techniques to develop scalable and innovative sports betting products.

  • Participate in development of database structures that fit into the overall architecture of Swish systems

Qualifications:

  • Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area

  • 5+ years of demonstrated experience developing and delivering clean and efficient production code to serve business needs

  • A proven background in quantitative analytics, trading, or engineering is required for this position

  • Demonstrated experience developing data science modeling systems and infrastructure at scale

  • Experience with Python and exposure to modern machine learning frameworks

  • Proficient in SQL; experience with MySQL

  • Background and/or interest in Rust preferred

  • Affinity for teamwork and collaboration with others to solve problems, share knowledge, and provide feedback

  • Strong communication skills when discussing technical concepts with technical and non-technical colleagues

Base salary: starting at $160,000 base plus bonus potential

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.