ZipRecruiter

Log In

1

Machine Learning Engineer New Grad Jobs in Berkeley, CA

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

We're building a new type of firm, where live capital is the training ground for an intelligence ... We're looking for an exceptional Machine Learning Engineer to help build the systems that make this ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site

We have hybrid offices in London, New York, and Singapore; this role is remote based in the San Francisco area. This Role As a Machine Learning Engineer, you'll work closely with our Data Scientists ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

We have hybrid offices in London, New York, and Singapore; this role is remote based in the San Francisco area. This Role As a Machine Learning Engineer, you'll work closely with our Data Scientists ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

We have hybrid offices in London, New York, and Singapore; this role is remote based in the San Francisco area. This Role As a Machine Learning Engineer, you'll work closely with our Data Scientists ...

Hive

Machine Learning Engineer

San Francisco, CA

$120K - $180K/yr

We are looking for developers who are excited about staying at the forefront of deep learning ... new technologies at all levels of the machine learning stack, and who move fast and take ownership ...

Skild AI

Machine Learning Engineer

San Mateo, CA

Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and ...

8VC

Software Engineer, New Grad

San Francisco, CA · On-site

Software Engineer, New Grad Location: San Francisco Company: Thorin Stage: Seed | Incubated at 8VC ... Comfortable learning quickly, taking feedback, and working in ambiguity * Excited about startups ...

Gotion

Machine Learning Engineer

Fremont, CA

Machine Learning Engineer Fremont, California Gotion Inc. is based in Silicon Valley, CA, currently ... About The Team The Product Development Team at Gotion Illinois New Energy Inc. focuses on the ...

Gotion, Inc.

Machine Learning Engineer

Fremont, CA · On-site

About The Team The Product Development Team at Gotion Illinois New Energy Inc. focuses on the ... Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background ...

Latent

Machine Learning Engineer

San Francisco, CA · On-site

$225K - $300K/yr

Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two groups: those with wealth and access, and those with physicians in their immediate family. For ...

8VC

Software Engineer, New Grad

San Francisco, CA

Software Engineer, New Grad Location: San Francisco Company: Thorin Stage: Seed | Incubated at 8VC ... Comfortable learning quickly, taking feedback, and working in ambiguity * Excited about startups ...

DocuSign

Machine Learning Engineer

San Francisco, CA · On-site +1

$164K - $266K/yr

What you'll do As a Machine Learning Engineer on the AI Platform team, you will design and build the foundational infrastructure that powers Docusign's next generation of intelligent systems. You ...

Docusign

Machine Learning Engineer

San Francisco, CA · On-site

$164K - $266K/yr

What you'll do As a Machine Learning Engineer on the AI Platform team, you will design and build the foundational infrastructure that powers Docusign's next generation of intelligent systems. You ...

Hive

Machine Learning Engineer

San Francisco, CA

$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

San Francisco, CA · 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 ...

next page

Showing results 1-20

All JobsMachine Learning Engineer New Grad JobsMachine Learning Engineer New Grad Jobs in Berkeley, CA

Machine Learning Engineer New Grad information

See Berkeley, CA salary details

$38.6K

$157.7K

$236.9K

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

As of Jun 20, 2026, the average yearly pay for machine learning engineer new grad in Berkeley, CA is $157,670.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,300.00 and $189,800.00 per year, depending on experience, location, and employer.

What is a Machine Learning Engineer New Grad job?

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 Berkeley, CA? For Machine Learning Engineer New Grad jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer New Grad jobs in Berkeley, CA look for? The top searched job categories for Machine Learning Engineer New Grad jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Machine Learning Engineer New Grad jobs? Cities near Berkeley, CA with the most Machine Learning Engineer New Grad job openings:
Machine Learning Engineer New Grad jobs near you
Infographic showing various Machine Learning Engineer New Grad job openings in Berkeley, CA as of June 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 70% In-person, 5% Hybrid, and 25% Remote job distribution, with an average salary of $157,670 per year, or $75.8 per hour.

Machine Learning Engineer

Poesis

San Francisco, CA • On-site

$200K - $280K/yr

Full-time

Medical, Dental, Vision

Posted 2 days ago

Job description

About Poesis
Whoever builds the leading intelligence for finance will create far more than returns. Poesis is the AI-native investment firm running autonomous agents that predict markets, construct portfolios, and manage risk. Our founders managed institutional capital at Capital Group ($3T AUM) and led enterprise ML at Goldman Sachs and Amazon. We're building a new type of firm, where live capital is the training ground for an intelligence that compounds with every signal.
About the Role
At Poesis, machine learning and artificial intelligence open the door to improved alpha discovery, higher quality decision-making and intelligent risk management. We're looking for an exceptional Machine Learning Engineer to help build the systems that make this possible. In this role, you'll develop models, signals and evaluation frameworks that power investment decision-making across the platform. You'll work across the full machine learning lifecycle, from experimentation and model and agent development to deployment and iteration, with significant ownership over both research and production outcomes.
Responsibilities
  • Rapidly implement and iterate on machine learning models, signals and research ideas
  • Design and run experiments to evaluate and improve model and agent performance and investment impact
  • Build reproducible workflows for feature generation, training, validation and evaluation
  • Work with large-scale financial, fundamental and alternative datasets to identify predictive signals and improve model performance

Required Competencies
  • 5+ years experience as a Machine Learning Engineer, or related role
  • Prior experience at a frontier AI lab, agentic startup, leading hedge fund, big tech company, or similar
  • Strong Python and SQL skills, with experience working with large-scale datasets
  • Experience developing, evaluating and deploying machine learning models in production environments
  • Success building reproducible research workflows and experimentation frameworks
  • Familiarity with modern AI systems, including LLMs, evaluation frameworks, and agent workflows
  • Skill leveraging Claude Code, Codex, or other coding agents
  • BS/MS/PhD in Computer Science or a related field, or equivalent practical experience

Preferred Competencies
  • Experience developing ML and AI systems using financial, fundamental, alternative, or time-series datasets
  • Familiarity with quantitative investing, portfolio construction, or risk management
  • Experience with PyTorch or TensorFlow, and AI workflows for parsing financial documents (filings, transcripts)

Location
Hybrid: 3 days per week on-site at our office in Menlo Park, CA. Relocation allowance available.
Benefits
We offer excellent medical, dental, and vision coverage, alongside a strong benefits package that includes catered lunches in our Menlo Park office, commuter benefits, and more.
Current legal authorization to work in the US required; continuing work visa sponsorship available for full-time employees.
Working at Poesis
As an early team member, you'll help shape not just the product, but how the company operates. Your decisions will have lasting impact across the business. You'll build from first principles, with no legacy systems, or entrenched processes slowing you down. Our team is made up of people from elite companies and universities who are low ego, collaborative, and excited to build together.

Apply