Los Angeles, CA

Developer Jobs in Los Angeles, CA

22 jobs found

Include remote jobs

Today

Machine Learning Engineer, Causal Inference, Level 5

Snapchat Los Angeles, CA

Los Angeles, CA

Today

$178k - $313k/yr Full time Causal Inference Causal Machine Learning Causal Ml

Apply Now

Job Description

Snap is hiring a Machine Learning Engineer to build and productionize causal inference models for measurable impact.

Responsibilities

Design and build causal impact models that quantify effects, optimize decisions, and support value creation for users, advertisers, and the business
Develop and productionize causal machine learning approaches such as uplift modeling and heterogeneous treatment effect estimation using observational and experimental data
Plan, analyze, and interpret A/B tests and quasi-experiments, partnering with product and engineering teams to shape experimentation strategy
Assess technical tradeoffs across model complexity, bias/variance, scalability, and interpretability
Perform code reviews, uphold engineering quality, and help build scalable, maintainable infrastructure
Drive fast iteration cycles while maintaining methodological rigor

Requirements

Causal inference expertise, including modern techniques for treatment effect estimation such as meta learners, propensity score matching, and instrumental variables
Applied data science experience covering A/B testing, uplift modeling, and experimentation infrastructure
Proficiency in Python and common data/ML libraries including pandas, NumPy, and scikit-learn, plus causal ML tooling such as CausalM
Ability to tackle open-ended problems by combining statistical thinking with engineering pragmatism
Comfort working independently and collaborating with cross-functional partners
Strong communication and mentorship skills, including translating technical findings for non-technical stakeholders
Bachelor’s degree in computer science, statistics, economics, or a related technical field (or equivalent practical experience)
Experience level aligned to one of the following paths: 5+ years post-Bachelor’s with hands-on causal inference or experimentation; or Master’s + 4+ years post-grad ML; or PhD + 2 years post-grad ML
Demonstrated experience building causal models that support product decision-making and policy evaluation
Experience designing and analyzing online experiments (A/B tests) and using causal ML in production

Technologies

Python
pandas
NumPy
scikit-learn
CausalM
CausalML
EconML
DoWhy

Preferred Qualifications

MS/PhD in a quantitative field such as statistics, data science, computer science, economics, or operations research
Experience with causal inference libraries including CausalML, EconML, or DoWhy
Background deploying models in production and working with ML or experimentation infrastructure
Deep understanding of experimentation nuances, including intent-to-treat (ITT) vs. ghost ad methodologies, and tradeoffs between frequentist and Bayesian inference for decision-making under uncertainty
Experience applying causal inference in areas such as personalization, ad, or marketplace dynamics

Location and Work Model

Los Angeles, CA (onsite)
Snap “default together” approach: office attendance 4+ days per week

Compensation

Base salary range by zone:
- Zone A (CA, WA, NYC): $209,000-$313,000 annually
- Zone B: $199,000-$297,000 annually
- Zone C: $178,000-$266,000 annually
Eligible for equity in the form of RSUs
Starting pay may be negotiable within the salary range
Compensation packages designed to support Snap’s long-term success

Benefits

Paid parental leave
Comprehensive medical coverage
Emotional and mental health support programs

View full job page →

Today

Senior Machine Learning Engineer

TikTok USDS JV Los Angeles, CA

Los Angeles, CA

Today

$178k - $416k/yr Full time Ad Tech Advanced Analytics Ai Ml

Apply Now

Job Description

TikTok USDS JV is hiring a Senior Machine Learning Engineer to join the TikTok USDS Ads shop team in Los Angeles, CA. In this onsite role, you will help build scalable machine learning systems that support ad ranking and improve advertiser marketing strategies across both open-loop and closed-loop shop ads.

The work centers on developing and experimenting with models and features, using machine learning to raise ad relevance and quality, and partnering with product and design collaborators to deliver next-generation shopping experiences on TikTok.

What you’ll do

Build highly scalable machine learning systems and state-of-the-art models to improve ad ranking quality and optimize advertisers’ marketing strategies, including click-through rate prediction, conversion rate prediction, intelligent format selection, and user journey optimization.
Explore, develop, and experiment with new features to improve model accuracy.
Apply modern machine learning to ads platform objectives to improve the relevance, quality, and quantity of ads delivered to end-users.
Collaborate with Global counterparts, Product Managers, Designers, and other disciplines to explore the next generation of shopping experiences on TikTok.

Required qualifications

5+ years experience as a Machine Learning Engineer and Data Scientist, with causal machine learning experience preferred.
Proficiency with SQL and Python, including data manipulation.
Experience with big data processing frameworks such as Hadoop and Spark, and distributed computing for efficient data mining on large-scale datasets.
Solid understanding of machine and deep learning concepts, including feature engineering, model evaluation, and optimization.
Strong analytical and problem-solving skills, including the ability to handle and derive insights from complex and unstructured datasets.
Master’s or advanced degree in Computer Science, Data Science, Statistics, or a related field.
Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams and explain technical concepts to non-technical stakeholders.
Highly self-motivated approach to driving business growth and advancing technical capabilities.
Work experience in user growth, marketing algorithms, recommendation algorithms, advertisement algorithms, or related fields is preferred.

Technologies

SQL
Python
Hadoop
Spark

Compensation

Annual base salary range for the selected city (Los Angeles, CA): $177,688 - $416,100. Compensation may vary outside this range based on qualifications, skills, competencies, experience, and location.

Benefits

Medical, dental, and vision insurance
401(k) savings plan with company match
Paid parental leave
Short-term and long-term disability coverage
Life insurance
Wellbeing benefits
10 paid holidays per year
10 paid sick days per year
17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)
Additional discretionary bonuses/incentives
Restricted stock units

Reasonable accommodation

USDS is committed to providing reasonable accommodations in its recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, contact: https://tinyurl.com/USDS-RA.

Los Angeles County (Unincorporated) Fair Chance notice

Qualified applicants with arrest or conviction records will be considered for employment in accordance with federal, state, and local laws, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Criminal history may have a direct, adverse, and negative relationship to job duties, potentially resulting in withdrawal of a conditional offer. This includes interacting and occasionally having unsupervised contact with internal or external clients and colleagues, handling confidential information (including proprietary and trade secret information), and managing access to information technology systems, as well as exercising sound judgment.

View full job page →

Today

Software Engineer

J. Paul Getty Trust, The Los Angeles, CA

Los Angeles, CA

Today

$101k - $136k/yr Full time Backend Developer APIs Cloud Infrastructure

Apply Now

Job Description

The J. Paul Getty Trust is seeking a Software Engineer for a three-year limited term to join Getty Digital’s Research Applications Development team. This hybrid role focuses on building and maintaining public-facing applications that help people explore Getty collections, research products, and scholarship.

Location and Work Arrangement

Los Angeles, CA (hybrid). The role is not fully remote. The successful candidate must be a California resident at the start of employment and live within commuting distance of Getty. The position requires working at least one day per week on Getty’s campus in Brentwood.

Salary

USD 100,776 - 136,048 per year.

Employment Term

This is a 3-year, limited term position.

Role Summary

As a member of the Research Applications Development team, you will support the design, development, and upkeep of an ecosystem of applications. The work primarily serves public audiences by presenting detailed information about Getty collections and scholarship.

Responsibilities

Help design, build, and maintain an ecosystem of applications presenting detailed information about the Getty’s collections and scholarship
Assist in the technical implementation of new features and applications
Participate in day-to-day software development and testing
Help maintain and upgrade existing applications
Perform code reviews and provide feedback to peer developers
Assist in writing documentation
Follow Getty policies and best practices for software development

Minimum Qualifications

Bachelor’s degree in a related field, or a combination of education and relevant experience
2-5 years software development experience

Required Technical Skills

Experience with modern JavaScript frameworks such as Vue.js or React, along with NPM and Vite
Expertise in Python and Flask
Working knowledge of frontend and backend code and coding practices
Experience with Vitest, Playwright, or other unit and end-to-end testing frameworks
Experience with 11ty or other static-site builders
Commitment to web and digital accessibility, including adherence to WCAG
Experience with Elasticsearch
Experience developing dynamic, data-driven web applications
Experience with RDF, Linked Data, and/or graph data structures
Experience with IIIF (International Image Interoperability Framework)
Experience building and deploying applications using Docker, Kubernetes, and AWS
Tact, diplomacy, and interpersonal skills

Technologies

Vue.js, React, NPM, Vite
Python, Flask
Vitest, Playwright
11ty
WCAG
Elasticsearch (ElasticSearch)
RDF, Linked Data, Graph data structures, Linked Open Data
IIIF
Docker, Kubernetes, AWS

Getty Digital Stack and Approach

The software stack is primarily Vue.js on the front end, with backend implementations in Python. Data is provided via APIs, and custom search interfaces are built using ElasticSearch. Getty also emphasizes Linked Open Data across its architecture and the use of IIIF to support access to rich media assets.

Additional Work Scope

Creating components within a design system
Tuning and improving search experiences
Building new interfaces
Working with Linked Open Data and developing a custom media (IIIF) Viewer

Benefits

Medical, Dental and Vision insurance coverage starting on date of hire (Getty pays 75%-95% of the premium, depending on plan selected)
403(b) Employee Investment retirement plan with up to 5% Getty Match
Getty contribution of 6% to a 401(a) retirement account on behalf of the employee
Educational Assistance and professional development
Paid Vacation, Sick and Personal Days
12 Paid Holidays
Many positions include bi-weekly Off-Fridays
On-Site Fitness Center at Getty Center
Community service opportunities

Work Authorization Notice

Please note: This position is not eligible for employer-based immigration sponsorship. Applicants must have authorization to work for Getty in the United States without the need for sponsorship, currently or in the future.

View full job page →

14d ago

Machine Learning Engineer

Voxelcloud Los Angeles, CA

Los Angeles, CA

14d ago

Full time Ai Ml Ai/ml Models Artificial Intelligence

Apply Now

Job Description

Join Voxelcloud on the R&D team building deep learning models for medical imaging. The work supports real outcomes like disease detection and quantification, risk stratification, image synthesis, and text report mining. You’ll contribute across the full path from model experimentation to production and deployment, including Dockerized implementations for scalable real-time use.

What you’ll do

Develop deep learning models for both prototyping and production based on product feature requests.
Design, implement, and test model experiments using major deep learning frameworks.
Document experiment findings and results with supporting summary statistics for peer review in Confluence.
Provide insights that improve data collection and annotation, collaborating with the data team on in-house data management and labeling.
Build production-ready code, including dockerization, and iterate deployed models to improve inference speed and overall performance.
Conduct methodology research in deep learning to enable scalable, real-time implementation.

What you bring

MS degree in computer science, engineering, or mathematics.
2-3 years of relevant experience building deep learning solutions for computer vision problems.
Proficiency with at least one major deep learning framework, preferably TensorFlow or PyTorch.
Python proficiency.
Strong CS fundamentals in data structures and algorithms.
Detail-oriented, well organized, self-motivated, and driven to learn, explore, and be challenged.
Comfort collaborating in teams and communicating ideas clearly.

Tools and technologies

TensorFlow, PyTorch, Python, Confluence, dockerization, and deep learning frameworks.

Nice to have

PhD degree in computer science, engineering, or mathematics.
3-5 years relevant experience building deep learning solutions for computer vision problems.
Hands-on experience with state-of-the-art models such as RetinaNet, Mask RCNN, CenterNet (object detection), U-Net, deeplab (semantic segmentation), and ResNet, DenseNet (image classification).
Publications in CV and medical image analysis.
Experience with model optimization such as network quantization and mixed-precision training.
Prior experience with medical images.

Benefits

An outstanding start-up culture
Transparent, collaborative work environment
Competitive compensation
Excellent Medical, Dental, and Vision coverage
401k
Paid Vacation and Holiday

Location: Los Angeles, CA (onsite)

View full job page →

15d ago

Senior Machine Learning Engineer

Capital Group Companies Los Angeles, CA

Los Angeles, CA

15d ago

$202k - $323k/yr Full time Senior Agentic Ai Systems Ai Ml

Apply Now

Job Description

The Senior Machine Learning Engineer role on Capital Group’s AI Insights team focuses on building an insight layer over investment data using multi-agent and generative AI systems. The work emphasizes rigorous evaluation and practical delivery, transforming unstructured research and other inputs into reusable, decision-supporting insights validated against evidence and defined performance criteria.

Responsibilities

Refine an underspecified request into a solvable problem by clarifying what is being asked, what constitutes an answer, and what evidence would resolve the question.
Extract signal from messy, incomplete data, distinguishing genuine results from leakage, lucky splits, or misleading metrics.
Develop evaluation plans for Generative AI systems, including evaluation sets, success criteria, LLM-as-judge approaches, known failure modes, and judgment mechanisms that ensure measured numbers reflect intended behavior.
Run experiments that settle team debates and write results for reproducibility, including criteria committed to before reviewing outcomes.
Design and build agent systems that generate insight by decomposing tasks, selecting orchestration, defining where a human belongs in the loop, and recognizing when simpler deterministic steps or single model calls are the most appropriate solution.
Build end-to-end prototypes, leveraging AI coding tools to move quickly while keeping outputs clean and functional.
Take ideas through early design to usable deliverables, starting with short designs shaped together with the team.
Improve team craft through design and code review, along with mentoring on experimental design and research rigor.

Requirements

Research depth and scientific rigor: experience extracting real signal from ambiguous data, designing strong evaluations, and challenging results that appear too strong.
Abstraction and problem framing: ability to identify core constraints in unfamiliar problems without handholding and to build reusable structures rather than one-off solutions.
First-principles problem solving: ability to begin with the problem and its constraints rather than a preferred tool, and to pursue the simplest approach that works.
Applied ML and Generative AI in production: end-to-end ownership from data understanding through evaluation to something people actually use.
AI acumen: capacity to learn new tools by understanding how they work, effective day-to-day collaboration with AI coding assistants, and the ability to describe what was built, where the assistants helped, and where human intervention was required.
Communication, collaboration, and maturity: ability to explain trade-offs to non-technical partners, comfort admitting “I don’t know,” fair presentation of disagreements, and the ability to strengthen others; willingness to support a direction you did not initially choose.
Ownership: drive ambiguous efforts to a defined result independently.
Builder judgment: 7+ years of professional experience with continued hands-on involvement; ability to turn ideas into working prototypes, review code with taste, steer AI coding tools toward clean results, and focus on making research real rather than algorithmic puzzles.

Preferred

Designing and evaluating multi-agent or tool-using systems, including a clear understanding of where they fail.
Building evaluation infrastructure such as eval sets, offline and online measurement, regression and drift detection.
Finance or investment management background, or demonstrated ability to become fluent in an unfamiliar domain quickly.

Location and Work Model

Location: Los Angeles, CA (hybrid).

Compensation

Salary range: USD 201,683 - 322,693 per year.

Base salary range (Southern California): $201,683-$322,693.

Benefits

Generous time-away and health benefits from day one, with flexible work options.
2-for-1 matching gifts for charitable contributions, plus the opportunity to secure annual grants for organizations you support.
On-demand professional development resources to hone existing skills and learn new ones.
Competitive salary, bonuses and benefits.
Company-funded retirement contribution that factors in salary and variable pay, including bonuses.
Individual annual performance bonus.
Capital’s annual profitability bonus.
Retirement plan where Capital contributes 15% of your eligible earnings.

How We Work, and What We Value

Nobody is keeping score.
Disagreement stays focused on the work rather than the person, and influence is not tied to volume.
A significant portion of the week is spent in working sessions, including brainstorming, design review, and pair programming.
Problems are genuinely ambiguous, and not every effort results in success.
Rigor: you attempt to break your own results before others do.
Ownership: you act as a driver rather than a passenger.
Humility: a stronger argument can change your mind.
Pragmatism: you know when a rough answer is acceptable and when the work must be airtight.

View full job page →

16d ago

Software Engineer

UpPoint, Inc. Los Angeles, CA

Los Angeles, CA

16d ago

$60k+/yr Full time Backend Developer API APIs

Apply Now

Job Description

UpPoint, Inc. is hiring a Software Engineer to build modern full-stack web applications in Los Angeles. This onsite role focuses on shipping production-ready software across the stack, from responsive frontends to backend services, APIs, and database performance. You will work with established tools and workflows, including Git-based development and CI/CD pipelines, while collaborating with designers and engineers to deliver high-quality features.

What you’ll do

Build and maintain web applications using React.js and Vue.js
Develop backend services using Laravel and PHP (with Node.js or Python as additional options)
Design RESTful APIs and integrate third-party services such as payments, webhooks, and external APIs
Design and optimize MySQL databases, including schema design, indexing, and query performance tuning
Implement authentication, authorization, and secure handling of data across the application
Write unit and integration tests and participate in code reviews
Optimize application performance through caching, lazy loading, and query improvements
Manage deployments and contribute to CI/CD pipeline workflows
Write clean, maintainable code, troubleshoot issues, and improve existing applications
Collaborate with designers and engineers to deliver reliable software releases

What you’ll need

1+ years of professional software engineering experience
Hands-on backend experience with Laravel and PHP (required); Node.js or Python frameworks are a plus
Strong MySQL / SQL skills, including schema design and query optimization
Strong JavaScript (ES6+), HTML5, and CSS3
Experience working with Git-based development workflows
Strong problem-solving and debugging skills
Daily development familiarity with AI coding assistants such as Claude Code, Cursor, or GitHub Copilot

Tools you’ll work with

React.js, Vue.js, Laravel, Node.js, Python
RESTful APIs, MySQL, SQL
authentication and authorization
JavaScript (ES6+), HTML5, CSS3, Git
CI/CD pipelines, Claude Code, Cursor, GitHub Copilot

Compensation and location

Salary: From $60,000 per year.

Location: Los Angeles, CA 90010 (onsite, in person).

Benefits

Health insurance

View full job page →

18d ago

Machine Learning Engineer

Hang Los Angeles, CA

Los Angeles, CA

18d ago

Full time Engineer Learning Machine

Apply Now

Job Description

Hang operates a loyalty platform and is looking to elevate its capabilities with advanced machine learning. This onsite role in Los Angeles seeks a seasoned ML Engineer to design, build, and deploy models that enhance personalization, predictive analytics, and automated decisioning, collaborating with cross-functional teams. The aim is to turn data into tangible improvements that guide Hang’s product strategy.

What you’ll do

Design, build, and deploy machine learning solutions that boost customer personalization, predictive analytics, and automated decisioning across Hang’s platform.
Analyze large datasets to uncover trends and patterns that inform model development and business strategy.
Experiment with algorithms and tune them to improve accuracy and efficiency.
Collaborate closely with software engineers, data scientists, and product managers to integrate models and ensure smooth deployment.
Stay current with the latest ML and AI developments and explore new techniques and technologies that could benefit Hang.
Provide technical leadership and contribute to the strategic direction of the technology team by sharing best practices.

Who you are

A bachelor’s or master’s degree in computer science, engineering, mathematics, or a related field; a PhD is a plus.
Five or more years of experience in machine learning and data-oriented roles.
Proven track record as a Machine Learning Engineer or in a similar role.
Strong Python skills with familiarity in ML frameworks such as TensorFlow or PyTorch.
Experience with data processing and analytics.
Hands-on experience with vector databases and managing high-dimensional data; familiarity with Redis, Milvus, Pinecone, Weaviate, Chroma, or Faiss is required.
Solid knowledge of ML techniques and algorithms, including fine-tuning processes and methodologies.
Experience deploying Large Language Models in production, with emphasis on optimization and scaling.
Proficiency with Snowflake, Postgres, RDS, Redis, and AWS.
Excellent problem-solving skills and ability to thrive in a fast-paced environment.
Strong communication and teamwork capabilities.
Ruby experience is a plus.

Technologies

Python
TensorFlow
PyTorch
Redis
Milvus
Pinecone
Weaviate
Chroma
Faiss
Snowflake
Postgres
RDS
AWS
Ruby

Benefits

Comprehensive health, vision, and dental coverage, including plans with zero employee cost.
Unlimited paid time off and sick leave.
Competitive salary plus equity compensation.
Quarterly company offsites.

About the role

We are seeking a skilled and innovative Machine Learning Engineer to join our team. The role focuses on implementing and advancing machine learning models to enhance the platform, contributing to product development, and enabling data‑driven decision-making.