73 Data Scientists jobs in Newport Beach

At Relativity Space, we have two audacious goals: to build the next great commercial launch company with Terran R and to become America's leading force in additive manufacturing innovation. Both contribute to our long-term vision of creating humanitys industrial base on Mars, paving the way for interplanetary life to expand the possibilities of the human experience. This journey begins right here on Earth where we design, build, and fly rockets to deliver customer payloads to orbit. Terran R, our medium-to-heavy lift reusable rocket, fulfills the growing demand for launch capacity, thanks to our iterative approach that accelerates design, testing, and development while minimizing costs. While our groundbreaking research and development in 3D printing pushes the boundaries of large-scale additive manufacturing.

Your journey with us is more than just a job its an opportunity to shape the future of aerospace technology, additive manufacturing, and the human experience alongside a community of passionate, creative individuals. Join us on this extraordinary journey, as we work together to transform our vision into reality.

About the Team:

Terrestrial Software is the central nervous system of Relativity Space, powering design, manufacturing, testing, and launch through a unified stack of enterprise applications, factory automation, and ground systems. Our goal is instant data accessibility and automated decision-making embedded in every workflow, removing friction and enabling fast, intelligent company-wide operations.

About the Role:

You'll build the analytical backbone for rocket development - interactive data exploration tools, automated test analysis systems, and decision-making engines that turn raw telemetry into actionable engineering insights. The goal is turning weeks of manual data review into automated go/no-go decisions. You'll join our 8-person Factory Platform team within the 40-person Terrestrial Software organization. Direct collaboration with GNC engineers, test engineers, and hardware development teams.

Day-to-day:Build interactive React applications for engineers to explore time-series data, compare test families, and identify performance trends. Work directly with GNC (Guidance, Navigation, Control) engineers to create specialized analysis tools for flight dynamics and control system validation. Implement automated decision algorithms that flag anomalies, generate test reports, and accelerate our test cadence from days to hours. Design APIs that surface insights from our existing data platform to power analysis workflows.

The challenge:Building analytical tools that engineers actually want to use. Interactive visualizations that handle terabytes of telemetry, automated analysis systems that make reliable go/no-go decisions, and creating family data analysis workflows that help engineers understand hardware behavior across hundreds of test runs.

Stack

Backend:Python, Go, Postgres

Frontend:React, TypeScript

Infrastructure:Kubernetes, Terraform, DBT, Spark

Data:Iceberg, DuckDB, Redshift

About You:

• 3+ years shipping production software
• Strong React and modern frontend patterns
• Experience with data analysis tools or scientific computing
• CS/Engineering degree or equivalent depth

Nice to haves but not required:

• Time-series data experience, scientific visualization background, or aerospace/automotive testing domain knowledge.

At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors.

Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more!To see some of the benefits & perks we offer, please visit here.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

At Relativity Space, we have two audacious goals: to build the next great commercial launch company with Terran R and to become America's leading force in additive manufacturing innovation. Both contribute to our long-term vision of creating humanitys industrial base on Mars, paving the way for interplanetary life to expand the possibilities of the human experience. This journey begins right here on Earth where we design, build, and fly rockets to deliver customer payloads to orbit. Terran R, our medium-to-heavy lift reusable rocket, fulfills the growing demand for launch capacity, thanks to our iterative approach that accelerates design, testing, and development while minimizing costs. While our groundbreaking research and development in 3D printing pushes the boundaries of large-scale additive manufacturing.

Your journey with us is more than just a job its an opportunity to shape the future of aerospace technology, additive manufacturing, and the human experience alongside a community of passionate, creative individuals. Join us on this extraordinary journey, as we work together to transform our vision into reality.

About the Team:

Terrestrial Software is the central nervous system of Relativity Space, powering design, manufacturing, testing, and launch through a unified stack of enterprise applications, factory automation, and ground systems. Our goal is instant data accessibility and automated decision-making embedded in every workflow, removing friction and enabling fast, intelligent company-wide operations.

About the Role:

You'll build the analytical backbone for rocket development - interactive data exploration tools, automated test analysis systems, and decision-making engines that turn raw telemetry into actionable engineering insights. The goal is turning weeks of manual data review into automated go/no-go decisions. You'll join our 8-person Factory Platform team within the 40-person Terrestrial Software organization. Direct collaboration with GNC engineers, test engineers, and hardware development teams.

Day-to-day: Build interactive React applications for engineers to explore time-series data, compare test families, and identify performance trends. Work directly with GNC (Guidance, Navigation, Control) engineers to create specialized analysis tools for flight dynamics and control system validation. Implement automated decision algorithms that flag anomalies, generate test reports, and accelerate our test cadence from days to hours. Design APIs that surface insights from our existing data platform to power analysis workflows.

The challenge: Building analytical tools that engineers actually want to use. Interactive visualizations that handle terabytes of telemetry, automated analysis systems that make reliable go/no-go decisions, and creating family data analysis workflows that help engineers understand hardware behavior across hundreds of test runs.

Stack

Backend: Python, Go, Postgres

Frontend: React, TypeScript

Infrastructure: Kubernetes, Terraform, DBT, Spark

Data: Iceberg, DuckDB, Redshift

About You:

• 3+ years shipping production software
• Strong React and modern frontend patterns
• Experience with data analysis tools or scientific computing
• CS/Engineering degree or equivalent depth

Nice to haves but not required:

• Time-series data experience, scientific visualization background, or aerospace/automotive testing domain knowledge.

At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors.

Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see some of the benefits & perks we offer, please visit here.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

At Relativity Space, we have two audacious goals: to build the next great commercial launch company with Terran R and to become America's leading force in additive manufacturing innovation. Both contribute to our long-term vision of creating humanitys industrial base on Mars, paving the way for interplanetary life to expand the possibilities of the human experience. This journey begins right here on Earth where we design, build, and fly rockets to deliver customer payloads to orbit. Terran R, our medium-to-heavy lift reusable rocket, fulfills the growing demand for launch capacity, thanks to our iterative approach that accelerates design, testing, and development while minimizing costs. While our groundbreaking research and development in 3D printing pushes the boundaries of large-scale additive manufacturing. Your journey with us is more than just a job its an opportunity to shape the future of aerospace technology, additive manufacturing, and the human experience alongside a community of passionate, creative individuals. Join us on this extraordinary journey, as we work together to transform our vision into reality. About the Team: Terrestrial Software is the central nervous system of Relativity Space, powering design, manufacturing, testing, and launch through a unified stack of enterprise applications, factory automation, and ground systems. Our goal is instant data accessibility and automated decision-making embedded in every workflow, removing friction and enabling fast, intelligent company-wide operations. About the Role: You'll build the analytical backbone for rocket development - interactive data exploration tools, automated test analysis systems, and decision-making engines that turn raw telemetry into actionable engineering insights. The goal is turning weeks of manual data review into automated go/no-go decisions. You'll join our 8-person Factory Platform team within the 40-person Terrestrial Software organization. Direct collaboration with GNC engineers, test engineers, and hardware development teams. Day-to-day:Build interactive React applications for engineers to explore time-series data, compare test families, and identify performance trends. Work directly with GNC (Guidance, Navigation, Control) engineers to create specialized analysis tools for flight dynamics and control system validation. Implement automated decision algorithms that flag anomalies, generate test reports, and accelerate our test cadence from days to hours. Design APIs that surface insights from our existing data platform to power analysis workflows. The challenge:Building analytical tools that engineers actually want to use. Interactive visualizations that handle terabytes of telemetry, automated analysis systems that make reliable go/no-go decisions, and creating family data analysis workflows that help engineers understand hardware behavior across hundreds of test runs. Stack Backend:Python, Go, Postgres Frontend:React, TypeScript Infrastructure:Kubernetes, Terraform, DBT, Spark Data:Iceberg, DuckDB, Redshift About You: 7+ years shipping production software Expert-level React and modern frontend patterns Experience with data analysis tools or scientific computing CS/Engineering degree or equivalent depth Nice to haves but not required: Time-series data experience, scientific visualization background, or aerospace/automotive testing domain knowledge. At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors. Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more!To see some of the benefits & perks we offer, please visit here. Hiring Range: $165,000 $211,000 USD We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #J-18808-Ljbffr

At Relativity Space, we have two audacious goals: to build the next great commercial launch company with Terran R and to become America's leading force in additive manufacturing innovation. Both contribute to our long-term vision of creating humanity’s industrial base on Mars, paving the way for interplanetary life to expand the possibilities of the human experience. This journey begins right here on Earth – where we design, build, and fly rockets to deliver customer payloads to orbit. Terran R, our medium-to-heavy lift reusable rocket, fulfills the growing demand for launch capacity, thanks to our iterative approach that accelerates design, testing, and development while minimizing costs. While our groundbreaking research and development in 3D printing pushes the boundaries of large-scale additive manufacturing. Your journey with us is more than just a job – it’s an opportunity to shape the future of aerospace technology, additive manufacturing, and the human experience alongside a community of passionate, creative individuals. Join us on this extraordinary journey, as we work together to transform our vision into reality. About the Team: We build rockets with advanced manufacturing techniques. Our Data Analysis Platformgroup within the Factory Platform teamcreates the software that transforms how engineers analyze test results, understand hardware performance, and accelerate development cycles. About the Role: You'll build the analytical backbone for rocket development - interactive data exploration tools, automated test analysis systems, and decision-making engines that turn raw telemetry into actionable engineering insights. The goal is turning weeks of manual data review into automated go/no-go decisions. Day-to-day: Build interactive React applications for engineers to explore time-series data, compare test families, and identify performance trends. Work directly with GNC (Guidance, Navigation, Control) engineers tocreate specialized analysis tools for flight dynamics and control system validation. Implement automated decision algorithms that flag anomalies, generate test reports, and accelerate our test cadence from days to hours. Design APIs that surface insights from our existing data platform to power analysis workflows. The challenge: Building analytical tools that engineers actually want to use. Interactive visualizations that handle terabytes of telemetry, automated analysis systems that make reliable go/no-go decisions, and creating family data analysis workflows that help engineers understand hardware behavior across hundreds of test runs. Stack: Backend: Python, Go, Postgres Frontend: React, TypeScript Infrastructure: Kubernetes, Terraform, DBT, Spark Data: Iceberg, DuckDB, Redshift About You: 3+ years building and shipping production software Strong React and modern frontend development skills Experience with data visualization or analytical tools CS/Engineering degree or equivalent experience Nice to haves but not required: Time-series data experience, scientific visualization background, or aerospace/automotive testing domain knowledge. At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors. Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more!To see some of the benefits & perks we offer, please visit here. Hiring Range: $141,000 — $180,000 USD We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #J-18808-Ljbffr

"I can succeed as a Machine Learning Engineer at Capital Group" We are seeking a Machine Learning Engineer to design, research, implement, deliver and operate predictive capabilities to demonstrably improve our investment process and outcomes. Capital Group will use these predictive capabilities to more efficiently and effectively make investment recommendations and decisions. This role will collaborate directly with senior investment professionals and other technology associates to create, research, implement, and operate state of the art predictive models, systems, and user experiences. In this role you will work with a high performing team of applied scientists, machine learning engineers, and software development engineers. The ideal candidate for this role will be passionate about our mission and will drive for superior long-term investment results through the application of modern machine learning and software engineering methods. "I am the person Capital Group is looking for." * You will design, research, build, deliver and operate predictive models, systems and services which demonstrably improve the efficiency and effectiveness of CG's investment decisions. * You successfully research, train, evaluate and deploy models from inception to completion, as well as operate them. * You bring a high level of craftsmanship to your work, ensuring integrity in both form and function. * You collaborate effectively to support team strategy, contributing to modeling and technology choices. * You work to identify and resolve the root causes of endemic modeling problems, and collaborate effectively with other teams to implement correct, long-term fixes. * You work with a sense of urgency, and design and build simple and pragmatic solutions which solve complex problems. Required Experience: * 7+ years' experience with at least one modern programming language such as Java, Python, C++ or C#. Strong OO or Functional design skills with understanding of common design patterns. * Outstanding communication skills, ability to establish and maintain a close working relationship with distributed team members and business partners. * Demonstrated track record in one or more machine learning subfield, such as forecasting, recommender systems, ranking and relevance, optimization, etc. * Experience solving "full stack" machine learning problems, from data collection to model training to deployment. Must have experience using machine learning or NLP to solve real business problems. * Strong computer science fundamentals including data structures, algorithms, and complexity analysis. * Track record of successfully delivering enterprise-grade models into production Southern California Base Salary Range: $194,862-$11,779 "I can succeed as a Machine Learning Engineer at Capital Group" We are seeking a Machine Learning Engineer to design, research, implement, deliver and operate predictive capabilities to demonstrably improve our investment process and outcomes. Capital Group will use these predictive capabilities to more efficiently and effectively make investment recommendations and decisions. This role will collaborate directly with senior investment professionals and other technology associates to create, research, implement, and operate state of the art predictive models, systems, and user experiences. In this role you will work with a high performing team of applied scientists, machine learning engineers, and software development engineers. The ideal candidate for this role will be passionate about our mission and will drive for superior long-term investment results through the application of modern machine learning and software engineering methods. "I am the person Capital Group is looking for." * You will design, research, build, deliver and operate predictive models, systems and services which demonstrably improve the efficiency and effectiveness of CG's investment decisions. * You successfully research, train, evaluate and deploy models from inception to completion, as well as operate them. * You bring a high level of craftsmanship to your work, ensuring integrity in both form and function. * You collaborate effectively to support team strategy, contributing to modeling and technology choices. * You work to identify and resolve the root causes of endemic modeling problems, and collaborate effectively with other teams to implement correct, long-term fixes. * You work with a sense of urgency, and design and build simple and pragmatic solutions which solve complex problems. Required Experience: * 7+ years' experience with at least one modern programming language such as Java, Python, C++ or C#. Strong OO or Functional design skills with understanding of common design patterns. * Outstanding communication skills, ability to establish and maintain a close working relationship with distributed team members and business partners. * Demonstrated track record in one or more machine learning subfield, such as forecasting, recommender systems, ranking and relevance, optimization, etc. * Experience solving "full stack" machine learning problems, from data collection to model training to deployment. Must have experience using machine learning or NLP to solve real business problems. * Strong computer science fundamentals including data structures, algorithms, and complexity analysis. * Knowledge of software engineering best practices (e.g. Agile software development, test-driven development, unit testing, code reviews, design documentation, etc) * Track record of successfully delivering enterprise-grade models into production Southern California Base Salary Range: 194,862- 311,779 In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings. You can learn more about our compensation and benefits here. * Temporary positions in Canada and the United States are excluded from the above mentioned compensation and benefit plans. We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law. #J-18808-Ljbffr

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. WHY WE’RE HERE Anduril’s Tactical Reconnaissance and Strike Division (TRS) is responsible for design and development of Anduril’s fleet of small warfighting and surveillance drones deployed around the world, including Ghost, Anvil, Altius, and Bolt. We work in close coordination with specialist teams like Perception, Autonomy, and Manufacturing to solve some of the hardest problems facing our customers. We are looking for software engineers and roboticists excited about creating a powerful robotics stack. We are looking for a Computer Vision / Machine Learning Engineer to apply the latest research to solve our toughest problems. Must be eligible to obtain and hold a US DoD Security Clearance. This position will be located at our headquarters in Costa Mesa, CA (relocation benefits provided.) WHAT YOU’LL DO Propose and prototype innovative solutions to solve real world problems, leveraging the latest state-of-the-art techniques in the field Develop and maintain core libraries and runtime applications Integrate classical and geometric methods in computer vision with ML methods Work with ML and Data Infra team to construct various benchmarks for analyzing system performance CORE QUALIFICATIONS MS or PhD in Machine Learning, Robotics or Computer Science, with emphasis on Computer Vision BS in Computer Science, Machine Learning, Electrical Engineering, or related field 4+ years experience developing and benchmarking ML algorithms on large-scale datasets High proficiency in C++ development in a Linux environment Experience deploying models with TensorRT and ONNX Experience with Python development and deep learning frameworks such as PyTorch and TensorFlow Experience writing and maintaining automated continuous integration tests Experience in one or more of the following: Object Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic change Detection Experience in one or more of the following: Visual Odometry, SLAM, Multi-view Geometry, Structure from Motion, 3D Geometry, Discriminative Correlation Filters, Stereo, Neural 3D Reconstruction, RGB-D and LIDAR Sensor Fusion PREFERRED QUALIFICATIONS Experience troubleshooting and analyzing remotely deployed software systems Proficient in Python Proficient in CUDA BENEFITS Platinum Benefits: We offer top tier platinum coverage (medical, dental, vision, life) and cover 100 percent of the premiums for you. 16 Weeks paid parental leave for all caregivers Family planning: We’re proud to offer comprehensive family planning support. Fertility planning and treatment, adoption support, gestational carrier support and fertility preservation are all included. Unlimited Provisions: From breakfast to dinner, our kitchen team has you covered with healthy meals and snacks at every office. Commuter benefits depending on region Relocation assistance Unlimited and Incentivized Time Off US Salary Range $168,000 — $252,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Platinum Healthcare Benefits:For U.S. roles, we offer comprehensive medical, dental, and vision plans at little to no cost to you. For UK roles, Private Medical Insurance (PMI): Anduril will cover the full cost of the insurance premium for an employee and dependents. For AUS roles, Private health plan through Bupa: Coverage is fully subsidized by Anduril. Basic Life/AD&D and long-term disability insurance 100% covered by Anduril, plus the option to purchase additional life insurance for you and your dependents. Extremely generous company holiday calendar including a holiday hiatus in December, and highly competitive PTO plans. 16 weeks of paid Caregiver & Wellness Leave to care for a family member, bond with your baby, or tend to your own medical condition. Family Planning & Parenting Support: Fertility (eg, IVF, preservation), adoption, and gestational carrier coverage with additional benefits and resources to provide support from planning to parenting. Mental Health Resources: We provide free mental health resources 24/7 including therapy, life coaching, and more. Additional work-life services, such as free legal and financial support, available to you as well. A professional development stipend is available to all Andurilians. Daily Meals and Provisions: For many of our offices this means breakfast, lunch and fully stocked micro-kitchens. Company-funded commuter benefits available based on your region. Relocation assistance (depending on role eligibility). 401(k) retirement savings plan - both a traditional and Roth 401(k). (US roles only) The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Anduril is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Anduril team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real-world impact, we'd love to hear from you! To view Anduril's candidate data privacy policy, please visit . #J-18808-Ljbffr

Ready to be pushed beyond what you think you're capable of? At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform - and with it, the future global financial system. To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems. Our work culture is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be. We're seeking Machine Learning Engineers to revolutionize how we optimize our operations using ML and GenAI. This is a unique opportunity to apply the latest advances in ML and GenAI to real-world problems that directly impact millions of users and the future of digital finance. Our AI teams are dedicated to building intelligent systems that protect our platform while ensuring a seamless experience for legitimate users. We are transforming traditional tasks such as manual document review and risk assessment into an automated, scalable system powered by state-of-the-art machine learning. What you'll be doing (ie. job duties): Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale Contribute to our ML models and work at the intersection of Blockchain and AI technologies Work with our senior engineers and collaborate with our product partners to identify and solve new use cases for ML on blockchain What we look for in you (ie. job requirements): 2+ yrs of industry experience as a Machine Learning Engineer M.S in ML/CS/EE or BS with equivalent ML experience Solid software engineering skills Solid foundation in modern ML techniques (e.g., DNNs, transformers, LLMs, classification) Experience with coding on ML platforms (e.g., Tensorflow, PyTorch) Willingness to learn and adapt to new technologies and challenges Nice to Have: Knowledge of crypto/blockchain technology Job ID: GPML04US *Answers to crypto-related questions may be used to evaluate your onchain experience. #LI-Remote For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. Your interview responses, in the form of a voice recording and/or transcript will be assessed in terms of the job qualifications and characteristics listed in the position description above by a human recruiter. For other select roles, Coinbase is piloting BrightHire, an AI interview intelligence platform, to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. Depending on your role and stage in the application process, you will be informed of more specifics regarding which tool(s) will be used as part of the interview process. These interview tools enable us to give a greater number of candidates an initial interview who meet our mandatory hiring criteria. The above pilots are for testing purposes and Coinbase will not use AI to make an employment decision. To request a reasonable accommodation due to disability, please contact . Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)). Pay Range: $152,405-$179,300 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Know Your Rights notice here . Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations(at)coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here) . Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here . By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here. Benefits at Coinbase Medical Plan, Dental and Vision Plan with generous employee contributions Health Savings Account with company contributions each pay period Disability and Life Insurance 401(k) plan with company match Wellness Stipend Mobile/Internet Reimbursement Connections Stipend Volunteer Time Off Fertility Counseling and Benefits Generous Time off/Leave Policy The option of getting paid in digital currency Learn more about our mission #J-18808-Ljbffr

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

Summary:

We are searching for a talented Software Engineer with expertise in ML application development to join our newly formed team working on Generative AI and Foundation Models development for ABAP in Newport Beach. This dynamic team is at the forefront of SAPs cloud transformation efforts, leveraging large language models to accelerate our customers data and code transformation. The team collaborates closely with established teams in Europe and India, various SAP stakeholders, UC Irvine, and early adopter customers. You will play a key role working with data scientists of ABAP Foundation Model teams globally to build ML based solutions for our customers.

What youll do:

Contribute to the development of internal tools and libraries for LLM development and deployment

Develop data pipelines for preprocessing, training, and evaluating language models

Build, optimize and maintain software solutions for automation and data management for training AI/ML models especially large language models (LLMs).

Collaboration: Work closely with data scientists and stakeholders and manage cross-functional relationships to align infrastructure among teams.

What you bring:

Educational Background: Masters degree in Computer Science, or a related field.

Experience: 3+ years of experience in software development for ML applications

Technical Proficiency: Expertise in LLM model training and data pipeline construction, optimization, and automation.

Communication: Exceptional verbal and written communication skills.

Key Skills and Competencies

Strong programming skills in Python, with experience in deep learning frameworks such as PyTorch or TensorFlow

Experience data processing automation for LLM training and evaluation

Experience with distributed deep learning training on multi-GPU systems is a plus

Meet your team:

The ABAP Foundation Model team is pioneering AI innovations within the SAP ABAP ecosystem. It is an integral part of the Generative AI foundation within Business AI at SAP. We focus on creating and refining our own Foundation Models using SAP Business Data, pushing the boundaries of whats possible with AI in business applications. By joining our team, youll be an integral part of shaping the future of AI at SAP and driving significant advancements in the field.
#LI-CD1

We win with inclusion

SAPs culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone regardless of background feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team:

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Compensation Range Transparency : SAPbelieves the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAPs commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is 84900 - 185500(USD)USD.The actual amount to be offered to the successful candidatewill be within that range, dependent upon the key aspects of each case which may include education, skills,experience, scope ofthe role, location, etc. as determinedthrough theselection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements:SAP North America Benefits .

Requisition ID: 424585| Work Area:Software-Design and Development | Expected Travel: 0 - 10%| Career Status: Professional| Employment Type: Regular Full Time| Additional Locations:#LI-Hybrid

Nearest Major Market: Orange County
Nearest Secondary Market: Los Angeles
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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. WHY WE’RE HERE Anduril’s Tactical Reconnaissance and Strike Division (TRS) is responsible for design and development of Anduril’s fleet of small warfighting and surveillance drones deployed around the world, including Ghost, Anvil, Altius, and Bolt. We work in close coordination with specialist teams like Perception, Autonomy, and Manufacturing to solve some of the hardest problems facing our customers. We are looking for a Computer Vision / Machine Learning Engineer to apply the latest research to solve our toughest problems. Must be eligible to obtain and hold a US DoD Security Clearance. This position will be located at our headquarters in Costa Mesa, CA (relocation benefits provided.) WHAT YOU’LL DO Propose and prototype innovative solutions to solve real world problems, leveraging the latest state-of-the-art techniques in the field Develop and maintain core libraries and runtime applications Integrate classical and geometric methods in computer vision with ML methods Work with ML and Data Infra team to construct various benchmarks for analyzing system performance CORE QUALIFICATIONS MS or PhD in Machine Learning, Robotics or Computer Science, with emphasis on Computer Vision BS in Computer Science, Machine Learning, Electrical Engineering, or related field 4+ years experience developing and benchmarking ML algorithms on large-scale datasets High proficiency in C++ development in a Linux environment Experience deploying models with TensorRT and ONNX Experience with Python development and deep learning frameworks such as PyTorch and TensorFlow Experience writing and maintaining automated continuous integration tests Experience in one or more of the following: Object Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic change Detection Experience in one or more of the following: Visual Odometry, SLAM, Multi-view Geometry, Structure from Motion, 3D Geometry, Discriminative Correlation Filters, Stereo, Neural 3D Reconstruction, RGB-D and LIDAR Sensor Fusion PREFERRED QUALIFICATIONS Experience troubleshooting and analyzing remotely deployed software systems Proficient in Python Proficient in CUDA BENEFITS Platinum Benefits: We offer top tier platinum coverage (medical, dental, vision, life) and cover 100 percent of the premiums for you. 16 Weeks paid parental leave for all caregivers Family planning: We’re proud to offer comprehensive family planning support. Fertility planning and treatment, adoption support, gestational carrier support and fertility preservation are all included. Unlimited Provisions: From breakfast to dinner, our kitchen team has you covered with healthy meals and snacks at every office. Relocation assistance Unlimited and Incentivized Time Off US Salary Range: $168,000 - $252,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees. Anduril is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Anduril team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense technology. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real-world impact, we'd love to hear from you! #J-18808-Ljbffr