Senior Machine Learning Modeler Job at Cash App (Bay Area)

Senior Machine Learning Engineer, Reinforcement Learning

About the Role: We are looking for a Senior Machine Learning Engineer with stron...

Location

United States , Beverly Hills, CA

Salary:

150000.00 - 185000.00 USD / Year

Snail Games

Expiration Date

Until further notice

Requirements

Strong foundation in machine learning, with hands-on experience building, training, and iterating on applied ML systems
Professional or substantial project experience with reinforcement learning, agent-based systems, sequential decision-making, or closely related areas
Strong Python skills and experience with modern ML frameworks such as PyTorch
Experience designing experiments, evaluating model behavior, and improving results through systematic iteration
T-shaped capability: deep machine learning expertise plus practical range across one or more adjacent areas such as simulation, evaluation, model integration, systems collaboration, or robotics-adjacent machine learning
Strong problem-solving ability, sound judgment, and comfort working in ambiguous, fast-changing environments
Respectful, low-ego collaborative style and willingness to work beyond a narrow specialty when the work requires it

Job Responsibility

Design, train, and iterate on machine learning models for intelligent agents and decision-making systems, with an emphasis on reinforcement learning and related approaches
Define and refine state representations, action spaces, reward structures, and evaluation criteria to improve agent behavior
Build and improve practical experimentation and training workflows, including data generation, experiment tracking, and reproducibility
Analyze results, debug model behavior, and make pragmatic tradeoffs between model performance, iteration speed, and system complexity
Work closely with engineers and other partners to help integrate successful ML work into usable product systems
Contribute thoughtful technical input on next-step experiments, tooling, and ML direction as Egofold continues to evolve

What we offer

True focus on work/life balance
Paid company holidays, vacation, and separate sick leave
Medical, dental, vision, and Life/LTD
401k with company match

Fulltime

Senior Machine Learning Scientist (User Modelling/Representation Learning)

About Viator Viator, a Tripadvisor company, is the leading marketplace for trave...

Location

United Kingdom; Poland

Salary:

Not provided

Tripadvisor

Expiration Date

Until further notice

Requirements

5+ years of hands-on data science experience
In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries
Awareness of current ML techniques, keen on self-improvement and striving to solve real-world data challenges
Strong skills in SQL and at least one programming language
To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments
Experience in deploying online solutions and analysing real-time results through A/B testing
To be passionate about mentoring junior members of the team, and have a strong desire to help us perform to the best of our ability
Leadership qualities, autonomy, and team collaboration skills
Clear communication skills, awareness of the audience, and proactive sharing of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively

Job Responsibility

The Representation Learning team’s charter is to enable embedding latent representations of entities across our platform. The unique challenges/ opportunities that you would help tackle are embedding entities to understand user behavior across multi-touch fragmented journeys in a continuous cold start setting
Get to work on Knowledge Graph Embeddings, Auto-Encoders, Attention etc to enable representing Users and Experiences in a common latent space with application across multiple downstream tasks like Search, Ranking, Notifications etc
Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency
Collaborate with product managers and various business stakeholders to ensure top-quality outcomes to meet internal objectives
Investigate and adopt innovative concepts that offer tangible benefits

What we offer

Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus
“Work your way” with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you’d like
Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work
Donation matching. Give back? Give more! We match qualifying charitable donations annually
Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs
Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you
Travel perks. We believe that travel is employee development, so we provide discounts and more
Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges
Health benefits. We offer great coverage and competitive premiums

New

Senior Machine Learning Engineer, AI Platform

The AI Platform team is responsible for building the foundational infrastructure...

Location

United States; Canada

Salary:

139000.00 - 218000.00 USD / Year

Mozilla

Expiration Date

Until further notice

Requirements

Bachelor’s degree with 4–6 years of relevant industry experience, or Master’s degree with significant hands-on experience building and operating production ML systems, or work experience equivalent
Strong experience developing in Python for machine learning systems, backend services, or distributed data processing
Proven experience deploying and operating ML workloads in cloud environments, including production-grade infrastructure
Solid understanding of model serving architectures, inference pipelines, and performance tradeoffs (latency, throughput, cost, scaling strategies)
Hands-on experience working with GPU-based workloads and accelerated computing in production settings
Experience designing CI/CD pipelines and development workflows that support reliable ML system deployment
Ability to independently scope and drive technical initiatives while balancing product and operational priorities
Strong problem-solving skills and the ability to debug performance and reliability issues in distributed systems
Clear and effective communication skills, with experience collaborating across engineering, product, and infrastructure teams

Job Responsibility

Design, build, and operate core AI platform components used to train, deploy, and serve machine learning models in production environments
Own model serving and inference workflows end-to-end, driving improvements in reliability, scalability, performance, and operational excellence
Lead efforts to optimize inference systems for throughput, latency, and cost efficiency across CPU and GPU workloads
Design and manage GPU-based inference and training workloads, including performance tuning, capacity planning, and resource utilization optimization
Own and improve critical parts of the model lifecycle, including packaging, versioning, testing strategies, validation, and deployment automation
Implement and evolve observability practices (metrics, logging, tracing, alerting) to improve visibility and operational resilience of ML services and pipelines
Partner closely with product, infrastructure, security, and data teams to design scalable platform capabilities that enable AI-powered features
Contribute to technical design discussions, propose architectural improvements, and mentor junior engineers through code reviews and knowledge sharing
Participate in and help improve operational processes, including incident response, on-call rotations, and post-incident reviews

What we offer

Generous performance-based bonus plans
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting
Quarterly all-company wellness days
Country specific holidays plus a day off for your birthday
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Considerable paid parental leave
Employee referral bonus program

Fulltime

New

Senior Machine Learning Engineer

IT AND R&D REMOTE - Senior Machine Learning Engineer - RTB House is a global com...

Location

Poland

Salary:

Not provided

RTB House

Expiration Date

Until further notice

Requirements

Expertise in designing and implementing complex IT systems
Ability to develop user-friendly, versatile tools
Proficiency in at least one programming language, such as Python, C++, Java, or Scala, along with expertise in Linux
Strong skills in evaluating and optimizing system performance, from initial design through to production troubleshooting
Deep understanding of algorithms and data structures
Initiative and creativity to improve existing solutions
Ability to work effectively both within and across teams
C1 level in Polish

Job Responsibility

Developing and maintaining the ML training platform and the bidding infrastructure that evaluates ML models in the production environment
Identifying performance bottlenecks and optimizing critical, low-level parts of the system
Ensuring the reliability and scalability of implementations, and creating performance and correctness tests for new system components
Testing and benchmarking open-source Big Data and ML technologies to assess their suitability for the production environment

What we offer

Access to the latest technologies, with the opportunity to apply them in a large-scale and fast-paced project
Opportunity to cooperate with a team of enthusiasts experienced in Machine Learning, Big Data, and distributed systems
Flexible cooperate hours, with the possibility of remote cooperate or cooperate from our office in Warsaw
An opportunity to apply your expertise in optimizing algorithms that support hundreds of millions of internet users and billions of ad views per month within the RTB model
The ability to see the immediate impact of your cooperate on the company's business outcomes
The possibility of publishing your results

Fulltime

New

Senior Machine Learning Engineer – AV Labs

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We'...

Location

United States , Sunnyvale

Salary:

202000.00 - 224000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

4+ years of working experience in the ML/Robotics industry
Bachelor's degree in Computer Science, Computer Engineering, or related fields
Proficient in Python and Linux environments
Familiar with modern AI/ML frameworks (e.g., PyTorch).

Job Responsibility

Algorithm Development: Lead the development of autonomy algorithms and foundation models that extract high-fidelity semantic meaning from complex urban edge cases to enrich our L4 data lake
Systems Architecture Design: Architect scalable ML systems, including management of upstream sensor dependencies
Technical Leadership: Partner with fellow engineers to architect, design, and build scalable solutions for ML technology that can stand the test of scale and availability
Dataset Optimization: Deliver high-quality datasets to accelerate ML technologies through advanced sensor data collection, processing, and auto-labeling
Cross-Functional Collaboration: Partner with platform, product, and security engineering teams to enable the successful deployment of the latest machine learning techniques into production.

What we offer

Bonus program
Equity award & other types of comp
401(k) plan
Various benefits

Fulltime

Senior Machine Learning Engineer, Search Assistant

Roku is changing how the world watches TV. Roku is the #1 TV streaming platform ...

Location

United States , San Jose

Salary:

361300.00 - 510000.00 USD / Year

Roku

Expiration Date

Until further notice

Requirements

8+ years of industry experience (or PhD with 5+ years) applying ML at scale in search, recommendation, ads, personalization, or related domains
Strong expertise in ranking systems, recommendation systems, retrieval, personalization, and multi-objective optimization
Experience building large-scale ML systems leveraging deep learning, sequence models, LLMs, reinforcement learning, or bandit frameworks
Strong product intuition and experience optimizing user engagement, retention, and monetization simultaneously
Proficiency in Python, Java, or Scala
Experience with distributed systems and ML infrastructure such as Spark, Airflow, streaming systems, feature stores, and cloud platforms
Strong technical leadership, system design, communication, and problem-solving skills
MS or PhD in Computer Science, Statistics, or a related field

Job Responsibility

Lead the technical vision and roadmap for ranking, personalization, and recommendation systems powering Roku’s entertainment assistant
Develop and deploy state-of-the-art ML models using deep learning, transformers, LLMs, bandits, reinforcement learning, and causal inference techniques
Build multi-objective optimization systems balancing engagement, retention, relevance, and monetization goals
Drive innovation in conversational discovery, contextual recommendations, and personalized content experiences across the platform
Design, run, and analyze online A/B experiments tied to key product and business KPIs
Architect scalable ML systems, feature platforms, and data pipelines supporting rapid experimentation and long-term growth
Mentor engineers and provide technical leadership across cross-functional initiatives involving engineering, product, UX, and analytics teams

What we offer

Health insurance
Equity awards
Life insurance
Disability benefits
Parental leave
Wellness benefits
Paid time off
Global access to mental health and financial wellness support and resources
Healthcare (medical, dental, and vision)
Life, accident, disability, commuter, and retirement options (401(k)/pension)

Fulltime

Senior Machine Learning Engineer

Join Amgen’s Mission of Serving Patients. At Amgen, if you feel like you’re part...

Location

United States , Thousand Oaks

Salary:

158606.00 - 200052.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Bachelor’s degree (or foreign equivalent) in Computer Science, Statistics, Electrical Engineering, Mathematics, Bioengineering or a related field and 4 years of experience in the job offered or in a Data Scientist related – Occupation
4 years of experience in the following: 1) Programming skills in Python including experience with scientific computing and machine learning libraries including pandas, NumPy, scikit-learn, XGBoost, LightGBM, TensorFlow and PyTorch
2) Applying supervised and unsupervised learning techniques to real-world problems, including experience with Random Forest, XGBoost, ensemble models, and deep learning architectures
3) Version control (Git), containerization and orchestration tools including Docker and Kubernetes, and cloud environments including AWS or GCP
4) Involved with data science platforms including Databricks and SageMaker
5) Using statistical methods industry including regression modeling, hypothesis testing, Bayesian methods, Forecasting techniques and time-series analysis
6) Building ETL (Extract, Transform, Load) pipelines for handling large-scale, high-dimensional datasets, familiarity with healthcare data structures and data types
7) Experience with software DevOps CI/CD tools and GitLab
8) Experience developing and fine-tuning Natural Language Processing (NLP) models, including work with architectures such as BERT, ALBERT, GPT, and other transformer-based models.

Job Responsibility

Lead efforts with Amgen business leaders to identify, explore and develop transformative AI and ML solutions to enable access to computational tools and data within Amgen, and ultimately improve patient outcomes across multiple therapeutic areas
Utilize Cloud Services to collect, store, preprocess, and analyze large datasets from various sources across Amgen
Collaborate with other ML engineers, data scientists and research scientists to identify appropriate ML models and algorithms
Facilitate ML & Data engineering efforts by architecting and guiding the implementation of data and ML pipelines for development and deployment
Facilitate model deployment to production, including monitoring and maintenance of ML models, put in place metrics to assess accuracy and drift
Define model evaluation and validation strategies, train and test models, and analyze and resolve errors and biases in models
Lead and develop standards, processes, and best practices for the team across the machine learning-based solution implementation lifecycle
Involved in technical guide and career development mentor to junior machine learning engineers and data scientists in a formal or matrixed fashion.

What we offer

stock
retirement
medical
life and disability insurance
eligibility for an annual bonus or for sales roles, other incentive compensation
Retirement and Savings Plan with generous company contributions
group medical, dental and vision coverage
life and disability insurance
flexible spending accounts
discretionary annual bonus program

Fulltime

Senior Machine Learning Engineer, Shopping AI

As the engine behind Zillow Group's mission to build a seamless digital real est...

Location

United States

Salary:

163200.00 - 274300.00 USD / Year

Zillow

Expiration Date

Until further notice

Requirements

3-5 years of experience in developing applications in search, personalized ranking, or recommender systems
Experience developing and deploying ML models that scale to high-traffic, latency sensitive customer-facing services (100s of millions of requests per day)
Strong programming skills in a high-level language such as Python or Java
Familiarity with common machine learning libraries like PyTorch, TensorFlow, Catboost, scikit-learn and huggingface (repository)
Expertise with large scale distributed data processing systems such as Hive, Spark, Airflow, or Databricks
Experience owning the full lifecycle of customer facing machine learning models, from offline experimentation and prototyping to online deployment, A/B testing, and performance monitoring

Job Responsibility

Design, build, and ship production new machine learning models that power core product features on the Zillow app, website, and email/push notifications
Re-architect our core home ranking and recommendation systems to support advanced neural networks and dramatically accelerate the pace of experimentation across surfaces
Own the full lifecycle of your models, from offline experimentation and prototyping with massive datasets to online deployment, A/B testing, and performance monitoring
Pioneer the application of cutting-edge deep learning and large language models (LLMs) to improve our home shopping experience
Develop new AI components that optimize how we display and when we recommend homes, ensuring we connect shoppers with the right content on the right properties at the right time
Collaborate in a cross-functional group of engineers, applied scientists, product managers, and designers to define, execute, and iterate on the team's strategic roadmap
Contribute to the team's engineering excellence by improving our machine learning infrastructure, development standards, and shared tooling
Act as a key technical voice, mentoring other engineers and helping to shape the long-term vision for artificial intelligence in the home shopping experience

What we offer

Equity awards

Fulltime

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Senior Machine Learning Modeler

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