Top 104 Java developer scala Jobs in Menlo Park, Ca

Software Engineer II, Machine Learning
Tinder —Palo Alto, CA
- $145,000 - $165,000 a year
- Hybrid work
- Computer Science
- Bachelor of Science
- Mid-level
6d
Software Engineer, Ads Product
xAI —Palo Alto, CA
- $150,000 - $350,000 a year
- Full-time
- Research
- Java
- Communication skills
- Disability insurance
- Health insurance
Quick Apply
7d
Software Development Engineer
Adobe —San Jose, CA
- $114,100 - $214,950 a year
- Full-time
- Computer science
- Azure
- Computer Science
Staff Software Development Engineer
Adobe —San Jose, CA
- $208,300 - $301,600 a year
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
11d
Software Engineer - Data
xAI —Palo Alto, CA
- Computer Science
- Mid-level
- Java
- Disability insurance
- Health insurance
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Senior Software Engineer
Nexxen —San Carlos, CA
- $170,000 - $200,000 a year
- Full-time
- Hybrid work
- Office
- Java
- SQL
- Paid holidays
- Disability insurance
Quick Apply
Software Engineer - Data Platform
MAI —Mountain View, CA
- $160,000 - $225,000 a year
- Full-time
- Azure
- Computer Science
- Writing skills
- Health insurance
- Dental insurance
Staff, Backend Engineer - Catalog
Acryl Data —Palo Alto, CA
- $225,000 - $300,000 a year
- System design
- Office
- AWS
- Health insurance
- Dental insurance
Software Engineer, Fullstack
Treehouse —San Mateo, CA
- $125,000 - $160,000 a year
- Full-time
- Azure
- Computer Science
- Mid-level
- Health insurance
- Dental insurance
Software Engineer Sys 1
Lam Research —Fremont, CA
- $86,000 - $159,000 a year
- Computer science
- Computer Science
- No experience needed
Sr. Software Engineer, Data Engineering
Poshmark —Redwood City, CA
- $124,700 - $208,850 a year
- Full-time
- Java
- SQL
- Senior level
Software Engineer – Adobe Experience Platform
Adobe —San Jose, CA
- $139,000 - $257,550 a year
- Full-time
- Hybrid work
- Azure
- 5 years
- System design
- Dental insurance
- Parental leave
Senior Software Development Engineer
Adobe —San Jose, CA
- $208,300 - $301,600 a year
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
Staff Software Engineer (Backend Engineer + Streaming)
Crusoe —Sunnyvale, CA
- $209,000 - $253,000 a year
- Full-time
- System design
- Java
- Mentoring
- Commuter assistance
- Paid parental leave
Quick Apply
Software Engineer, Cloud/Backend - SCP (Hybrid)
CrowdStrike —Sunnyvale, CA
- $120,000 - $180,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Mid-level
- Paid holidays
- Health insurance
Software Developer Engineer 4
Adobe —San Jose, CA
- $139,000 - $257,550 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
Senior Software Engineer
Adobe —San Jose, CA
- $208,300 - $301,600 a year
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
Senior Software Engineer - Openflow
Snowflake —Menlo Park, CA
- $200,000 - $287,500 a year
- On call
- Computer science
- 7 years
- Azure
- Health savings account
- Paid holidays
Java Backend Engineer
Tata Consultancy Services —Sunnyvale, CA
- $70,000 - $90,000 a year
- Azure
- SQL
- Senior level
- Commuter assistance
- Health insurance
Senior Software Engineer - Internal Observability
Snowflake —Menlo Park, CA
- $200,000 - $287,500 a year
- 7 years
- Azure
- System design
- Health savings account
- Paid holidays
4d

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Software Engineer II, Machine Learning

Tinder -
Palo Alto, CA

Apply Now

Job Details

$145,000 - $165,000 a year
6 days ago

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 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

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java developer scala jobs in menlo park, ca

Software Engineer II, Machine Learning

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