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Machine Learning Software Engineer Intern Jobs in Lawndale, CA

Match Group

Machine Learning Engineer II

Los Angeles, CA · On-site +1

$105K - $143K/yr

Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role: We are ...

Match Group

Machine Learning Engineer II

Los Angeles, CA · On-site

$105K - $143K/yr

Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role: We are ...

Match Group

Machine Learning Engineer II

Los Angeles, CA · On-site +1

$145K - $165K/yr

Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role: We are ...

Centerfield

Software Engineer Intern

Los Angeles, CA · On-site

As a Software Engineering intern at Centerfield, you'll work directly with our Engineering team ... Collaborate with engineering, data engineering, and data science teams to support machine learning ...

Centerfield

Software Engineer Intern

Los Angeles, CA · Hybrid

As a Software Engineering intern at Centerfield, you'll work directly with our Engineering team ... Collaborate with engineering, data engineering, and data science teams to support machine learning ...

Voxelcloud

Data Engineer Intern

Los Angeles, CA · On-site

$123K - $148K/yr

The Data Engineer intern will support our software developers and machine learning engineers on product/research initiatives and will create an optimal data delivery pipeline that is consistent ...

Voxelcloud

Data Engineer Intern

Los Angeles, CA

$123K - $148K/yr

The Data Engineer intern will support our software developers and machine learning engineers on product/research initiatives and will create an optimal data delivery pipeline that is consistent ...

Moffitt

Research Software Engineer

Long Beach, CA

$215K/yr

Summary The Machine Learning Engineer provides an array of services to support the Department of ... We are looking for a motivated individual to develop open-source software for biomedical data ...

Meta

Software Engineer, Machine Learning

Bellevue, WA · On-site +1

$183K/yr

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences * Implement ...

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling advanced software systems to automate Design for Manufacturing analysis. Responsibilities : • ...

Plutus LLC

AI Software Engineer Intern

Los Angeles, CA · On-site

We're looking for an AI Software Engineer Intern who's ready to create real impact--not just observe from the sidelines. What You'll Work On * Automating internal workflows across departments to ...

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

As a Senior Machine Learning Engineer, you will design, build, and scale advanced software systems that automate Design for Manufacturing analysis, leveraging deep learning and computer vision ...

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Machine Learning Software Engineer Intern information

See Lawndale, CA salary details

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How much do machine learning software engineer intern jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for machine learning software engineer intern in Lawndale, CA is $26.07, according to ZipRecruiter salary data. Most workers in this role earn between $21.20 and $29.57 per hour, depending on experience, location, and employer.

What does a Machine Learning Software Engineer Intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.

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

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.

What types of projects and responsibilities can a Machine Learning Software Engineer Intern expect during their internship?

As a Machine Learning Software Engineer Intern, you can expect to work on projects that involve data preprocessing, model development, and evaluation under the guidance of experienced engineers and data scientists. Interns often contribute to building and optimizing machine learning pipelines, implementing algorithms, and supporting the deployment of models into production environments. Collaboration is key; you'll likely work closely with cross-functional teams, including product managers and software developers, to ensure your solutions align with business goals. The internship is a great opportunity to gain hands-on experience with industry-standard tools and frameworks while receiving mentorship and feedback to help advance your technical skills.
What cities near Lawndale, CA are hiring for Machine Learning Software Engineer Intern jobs? Cities near Lawndale, CA with the most Machine Learning Software Engineer Intern job openings:
Machine Learning Software Engineer Intern jobs near you

Machine Learning Engineer II

Match Group

Los Angeles, CA • On-site, Remote

$105K - $143K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago

Job description

Our Mission

As humans, there are few things more exciting than meeting someone new. At Tinder, we're inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive-and rapidly growing. 

We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more.


Our Values
  • Take the Lead: We don't ghost our work or each other. Just as users don't leave their matches hanging, we don't let each other down.
  • Move Fast: We have a bias for action and urgency. Something that could be done tomorrow would be better if done today.
  • Better Together: We keep connection at the heart of dating and at the heart of how we work. Just as our users are better when they connect with others, so are we when we collaborate.
  • Real Talk: We say the hard thing the human way. Just as we ask our users to behave with kindness and candor in our community, we expect Team Tinder to do the same.
  • Safety First: We act with integrity, transparency, and consistency so people feel safe-whether they're swiping, matching, or working alongside us.
  • Spark Fun: We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters.

The Team:

The Tinder ML team drives impact across nearly every core domain of the product - Recommendations, Trust & Safety, Profile, Chat, Growth, and Revenue optimization. Our mission is to apply machine learning to enhance user experiences, foster trust, and accelerate business growth across Tinder's ecosystem.

ML at Tinder is organized into three groups with distinct roles:

  • Machine Learning Engineers (this role) who focus on modeling and algorithmic innovation

  • Machine Learning Infrastructure Engineers who build the platforms and tools that enable scalable training, serving, and feature management

  • Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale

About the Role:

We are looking for a Machine Learning Engineer II to help build and ship machine learning systems that improve product experience and drive measurable business impact. This role is ideal for an engineer with a strong foundation in machine learning and software engineering who is excited to work on real-world problems, partner cross-functionally, and grow quickly in a high-impact environment.

This is an individual contributor role focused on modeling and algorithmic innovation. You will work closely with product, engineering, data, and platform partners to translate product opportunities into machine learning solutions, run experiments, and help bring models from development into production. The team's work directly translates into measurable business outcomes, and many of its models are embedded in core Tinder user flows at scale.

Where You'll Work: 

This is a hybrid role and requires in-office collaboration three times per week in Palo Alto, California.

In this role, you will:
  • Translate product and business problems into clear machine learning problems with measurable success criteria
  • Build, train, evaluate, and improve production machine learning models
  • Partner with software engineers and ML infrastructure engineers to deploy models and improve reliability, scalability, and performance in production
  • Design and analyze offline evaluations and online experiments to understand model impact
  • Contribute to feature engineering, data preparation, training pipelines, and model monitoring
  • Write clean, maintainable, production-quality code and participate in design and code reviews
  • Communicate technical findings, trade-offs, and recommendations clearly to both technical and non-technical partners
You'll need:
  • BS or MS in Computer Science, Machine Learning, Statistics, Mathematics, or a related technical field
  • 1+ year of industry experience in machine learning, software engineering, data science, or a related field
  • Strong foundation in computer science fundamentals, including data structures, algorithms, and software design
  • Experience building ML or AI-related systems, or strong understanding of how modern machine learning systems are developed and operated
  • Proficiency in Python and at least one additional programming language such as Java, Kotlin, Go, Scala, or a similar language
  • Strong understanding of machine learning fundamentals, including model training, evaluation, and experimentation
  • Strong communication skills and the ability to collaborate effectively across functions
  • Self-motivated, proactive, and comfortable taking ownership of well-scoped problems
Nice to have:
  • Experience with recommendation systems or casual inference
  • Familiarity with big data or stream processing frameworks such as Spark or Flink
  • Familiarity with cloud platforms such as AWS and containerized environments such as Kubernetes
  • Familiarity with ML model serving frameworks such as TensorFlow Serving, TorchServe, Triton Inference Server, or Ray Serve
  • Experience with feature stores, ML data pipelines, and orchestration frameworks such as Airflow
  • Understanding of MLOps practices including CI/CD for ML, model versioning, and automated evaluation
  • Exposure to observability and monitoring for ML systems
  • Exposure to LLM-related use cases or applied generative AI projects
$145,000 - $165,000 a year

The salary range for this position is $145,000 - $165,000.  Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Palo Alto, California. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.

As a full-time employee, you'll enjoy:
  • Flexible Vacation, 10 Sick Days

  • Time off to volunteer and charitable donations matched up to $15,000 annually 

  • Comprehensive health, vision, and dental coverage

  • 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP)

  • 100% paid parental leave (including for non-birthing parents) and family forming benefits

  • Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual $3,000 stipend for your professional development

  • Investment in your wellness: access to mental health support via Modern Health, paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy

  • Free subscription to Tinder Gold


Commitment to Inclusion
 
At Tinder, we don't just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don't meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: https://www.lifeattinder.com/dei
 
If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.
 
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