Top 64 Java engineer ii Jobs in Palo Alto, Ca

Machine Learning Engineer II
Tinder —Palo Alto, CA
- $145,000 - $165,000 a year
- Hybrid work
- Computer Science
- Bachelor of Science
- Mid-level
Software Engineer II
Walmart —Sunnyvale, CA
- $104,000 - $202,000 a year
- On call
- Azure
- Computer Science
- Software troubleshooting
- Paid jury duty
- Paid parental leave
Sr. Software Engineer II - Backend (Remote)
Allocate —Palo Alto, CA
- $145,000 - $210,000 a year
- Full-time
- Remote
- Computer science
- Computer Science
- Java
- Health insurance
- Dental insurance
Software Engineer II - Identity
Electronic Arts —Redwood City, CA
- $120,600 - $184,000 a year
- Full-time
- Mid-level
- 3 years
- Java
- Paid holidays
- Disability insurance
Java Backend Engineer
UST —Sunnyvale, CA
- $82,000 - $123,000 a year
- Writing skills
- System design
- SQL
- Paid jury duty
- Health savings account
Quick Apply
9d
Software Dev Engineer II, AWS catalog
Amazon Development Center U.S., Inc. —East Palo Alto, CA
- $165,200 - $223,600 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
- AD&D insurance
- Health insurance
Application Software Engineer
SpaceX —Palo Alto, CA
- $135,000 - $185,000 a year
- Extended hours
- Hybrid work
- Computer Science
- System design
- No experience needed
- Paid parental leave
- Employee stock purchase plan
6d
Software Development Engineer II, AWS Analytics - Spark Engine
Amazon Development Center U.S., Inc. —East Palo Alto, CA
- $165,200 - $223,600 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
- AD&D insurance
- Health insurance
2d
Software Engineer II
Uber —Sunnyvale, CA
- $171,000 - $190,000 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
2d
Software Engineer II
Blackhawk Network —Pleasanton, CA
- $105,300 - $136,916 a year
- Full-time
- Computer Science
- Bachelor of Science
- Mid-level
- Paid holidays
- Disability insurance
2d
Software Dev Engineer II-TEST - AMZ10016739
Annapurna Labs (U.S.) Inc. - D63 —Cupertino, CA
- $165,200 - $223,600 a year
- Multiple hires
- Computer Science
- Mid-level
- Office
9d
Software Engineer II
AiPrise —San Jose, CA
- $150,000 - $185,000 a year
- Full-time
- Azure
- Mid-level
- Office
Quick Apply
Motor Controls Engineer II - R&D
Pivotal —Palo Alto, CA
- $132,000 - $155,000 a year
- Full-time
- System design
- Mid-level
- Office
- Health insurance
- Dental insurance
Quick Apply
Software Dev Engineer II
Amazon Development Center U.S., Inc. —East Palo Alto, CA
- $165,200 - $223,600 a year
- Full-time
- Computer science
- Computer Science
- System design
- AD&D insurance
- Health insurance
14d
Frontend Engineer II, AI Experiences
Box —Redwood City, CA
- $133,500 - $167,000 a year
- On call
- Mid-level
- Office
- Java
13d
Software Engineer II (Distributed / Scalable Systems)
KLA —Milpitas, CA
- $136,300 - $231,700 a year
- Full-time
- Doctoral degree
- Mid-level
- Java
- Employee stock purchase plan
- Paid holidays
Software Engineer II - Commerce
Electronic Arts —Redwood City, CA
- $120,600 - $184,000 a year
- Full-time
- Azure
- System design
- Mid-level
- Paid holidays
- Disability insurance
Software Dev Engineer II - AMZ9971311
Annapurna Labs (U.S.) Inc. - D63 —Cupertino, CA
- $165,200 - $223,600 a year
- Multiple hires
- Computer Science
- System design
- Mid-level
3d
Software Development Engineer in Test II - Contractor
PlayStation Global —San Mateo, CA
- Contract
- Computer Science
- Bachelor of Science
- Writing skills
Customer Engineer II, Applied AI, Google Cloud
Google —Mountain View, CA
- $148,000 - $216,000 a year
- Full-time
- Computer science
- Computer Science
- Java

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Machine Learning Engineer II

Tinder -
Palo Alto, CA

Apply Now

Job Details

$145,000 - $165,000 a year

Qualifications

AI models
Software engineering
Data structures
Testing and evaluation
Machine intelligence
Model training
Model evaluation
Design (software development lifecycle)
Cross-functional communication

Full 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.

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.

#Tinder

Apply Now

Refine Your Search

java engineer ii jobs in palo alto, ca

Machine Learning Engineer II

Software Engineer II

Sr. Software Engineer II - Backend (Remote)

Software Engineer II - Identity

Java Backend Engineer

Software Dev Engineer II, AWS catalog

Application Software Engineer

Software Development Engineer II, AWS Analytics - Spark Engine

Software Engineer II

Software Engineer II

Software Dev Engineer II-TEST - AMZ10016739

Software Engineer II

Motor Controls Engineer II - R&D

Software Dev Engineer II

Frontend Engineer II, AI Experiences

Software Engineer II (Distributed / Scalable Systems)

Software Engineer II - Commerce

Software Dev Engineer II - AMZ9971311

Software Development Engineer in Test II - Contractor

Customer Engineer II, Applied AI, Google Cloud

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