Arraylist Java Jobs Salary Jobs in Usa
349 positions found — Page 35
Salary: $150,000
- $190,000 per year A bit about us: We’re a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges.
Our teams work at the intersection of data engineering, analytics, and machine learning—designing and delivering real-world solutions that move beyond experimentation into production.
With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration.
Even as we scale rapidly, we’ve maintained a flexible, high-energy environment where top talent is empowered to do their best work.
Why join us? Competitive Compensation: $140,000 – $190,000+ base salary (depending on experience) Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details Machine Learning Solutions Architect (Remote – U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions.
You’ll design, build, deploy, and operate scalable ML systems—partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value.
What You’ll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We’re Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
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Arcticom offers impressive performance that is routinely recognized with exceptional ratings and commendations tied to installation successes.
Satisfied Bering Straits Native Corporation (BSNC) family customers include the U.S.
Air Force, Army, Navy, Coast Guard, the Departments of State, Justice, Commerce, Agriculture, Interior, Homeland Security, the General Services Administration, the Defense Logistics Agency and the U.S Census Bureau.
About this position Journeyman Software Engineer – Beavercreek, OH The Essential Duties and Responsibilities are intended to present a descriptive list of the range of duties performed for this position and are not intended to reflect all duties performed within the job.
Other duties may be assigned.
To perform this job successfully, an individual must be able to satisfactorily perform each essential duty.
The requirements listed below are representative of the knowledge, skill and/or ability required.
Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the position.
Wage/Salary: 85,000 – 130,000 Applicants will be notified via phone or email within ten (10) business days of submittal.
Essential Duties & Responsibilities The Essential Duties and Responsibilities are intended to present a descriptive list of the range of duties performed for this position and are intended to reflect all duties performed within the job.
Other duties may be assigned.
Analyze existing code base and software repositories for deficiencies and errors.
Comfortable working with a distributed remote team and collaborating primarily online.
Conduct code reviews and suggest necessary improvements in existing processes and applications.
Work with architects, analysts and other developers in software design and documentation sessions.
Report on status of systems and projects on a regular and timely basis.
Resolve difficult design and build issues and troubleshoot bugs, working closely with the test team and requirements managers to ensure successful implementations.
Play an active role in joint solutions design and be an advocate for long term quality in the processes.
Reviews processes and procedures for software quality and data accuracy.
Develop, maintain, and support a complex code base for our DoD customer efforts.
Required (Minimum Necessary) Qualifications 4-7 years Software Development / Engineering experience.
Bachelor’s degree.
Must have or be able to obtain CompTIA Security+ certification within the first 60 days of employment Must have or be able to obtain a National Agency Check with Inquiries and/or National Security Clearance; requires US Citizenship Knowledge, Skills, Abilities, and Other Characteristics Experience with Software Development Life Cycle (SDLC) Familiar with secure coding standards and processes, including OWASP, code scans, and other processes.
Experience in developing and maintaining applications built on Java, Oracle, and/or other related platforms.
Experience in container-based computing technologies, including Docker or Kubernetes, and the management of containers in various environments.
Demonstrated strong written and verbal communication and decision-making skills.
Strong analytic, problem solving, negotiation, issue resolution and facilitation skills.
Experience in writing and maintaining complex SQL queries, data structures, and other database-related functions.
Preferred Mixed Integer Programming (MIP) is a plus and will be considered favorably.
Supervisory Responsibilities No supervisory responsibilities.
DOT Covered/Safety-Sensitive Role Requirements • This position is not subject to federal requirements regarding Department of Transportation “safety-sensitive” functions.
Necessary Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this role.
Employees must always maintain a constant state of mental alertness.
Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
Essential and marginal functions may require maintaining physical condition necessary for bending, stooping, sitting, walking or standing for prolonged periods of time; most of time is spent sitting in a comfortable position with frequent opportunity to move about.
Work Environment The work environmental characteristics described here are representative of those that must be borne by an employee to successfully perform the essential functions of the role.
Employees must always maintain a constant state of situational awareness.
Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
Job is performed in an office setting with exposure to computer screens and requires extensive use of a computer, keyboard, mouse, and multi-line telephone system.
The work described herein is primarily a modern office setting.
Occasional travel may be required.
Shareholder Preference BSNC gives hiring, promotion, training, and retention preference to BSNC shareholders, shareholder descendants and shareholder spouses who meet the minimum qualifications for the job.
Bering Straits Native Corporation is an equal opportunity employer.
All applicants will receive consideration for employment without regard to any status protected by state or federal law, or any other basis prohibited by law.
Job ID: 3102794 | AWS ProServe IN - Maharashtra
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
- Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
- Providing technical guidance and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather requirements and propose effective migration strategies
- Acting as a trusted advisor to customers on industry trends and emerging technologies
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
Diverse Experiences - AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge‑sharing, mentorship and other career‑advancing resources here to help you develop into a better‑rounded professional.
Work/Life Balance - We value work‑life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there nothing we can’t achieve in the cloud.
Basic Qualifications
- 10+ years of IT platform implementation in a technical and analytical role experience
- Experience in external enterprise customer‑facing role as a technical lead, with strong oral and written communication skills, presenting to both large and small audiences
- 5+ years experience of handling large datasets and strong software development skills with 3+ years experience as a ML practitioner with hands‑on implementation of ML systems
- Hands on experience with building, validating and deploying GenAI models
- Proficiency in one or more programming languages including Python and one additional language e.g., Java, C#
Preferred Qualifications
- 3+ years technical experience preferred, knowledge of AI/ML Technology stack of AWS and Generative AI trends, patterns, anti‑patterns
- Serving ML models through realtime APIs and experience with deploying production‑grade machine learning solutions on public cloud platforms
- Knowledge of vertical use cases for large language models in industries like finance, healthcare, manufacturing etc
- AWS experience preferred, with proficiency in a wide range of AWS services
- AWS Professional or Specialty level certifications (e.g., Machine Learning Specialty)
- Strong communication skills with the ability to explain technical concepts to both technical and non‑technical audiences
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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Job Description - Capgemini Invent, AI / Analytics & Data Science - (Insight for II) - Managing Consultant (078314)
Capgemini Invent, AI / Analytics & Data Science - (Insight for II) - Managing Consultant - 078314
Candidates can be based out of Chicago | Atlanta | New York Metro
As a Data Scientist in the Data Driven Transformation Team of Capgemini Invent, you will help clients transform and improve their operations by leveraging insights from underlying business, commercial, process, or machine data. You will be advising our clients on solution approach, design, implementation, and roll-out of Data Science solutions. You are a key expert in building innovative solutions and can implement those.
Responsibilities:
- You will help define and develop Data Science solutions, and advise on solution development, testing, and roll-out.
- You will build components of technical solutions on your own, and in team with other engineers (e.g. ML Models, anomaly detection algorithms, etc.)
- You will help run energetic workshops with clients to identify pain-points, desires, as-is situation, solution path, solution design, etc.
- You will find and cultivate opportunities for improvement and grow the business within your space.
- You will help promote program/solution/team success internally and at the client.
Requirements:
- Degree in Mathematics, STEM, or a related field.
- Strong ability to translate data into actionable insights and provide business recommendations.
- Experience with data science, data analytics, data visualization, and AI tools.
- Proven Data Science experience in preferably either in industries such as Consumer Products and Retail, MALS (Manufacturing, Automotive and Life Sciences), Energy & Utilities, or in the Consulting industry.
- Agile knowledge and project management familiarity.
- Either Industrial, Customer, Commercial, or Operations Data Analytics Experience.
- Experience with some of these programming languages such as Python, SQL, JAVA, C++, C, MATLAB.
- Excellent communication skills with the ability to convey complex insights in a clear and understandable manner.
- Proven ability to be successful in a matrixed organization and to enlist support and commitment from peers in selling and delivering consulting solutions.
- Currently working in a Consulting firm or in industry.
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
- Healthcare including dental, vision, mental health, and well-being programs.
- Financial well-being programs such as 401(k) and Employee Share Ownership Plan.
- Paid time off and paid holidays.
- Paid parental leave.
- Family building benefits like adoption assistance, surrogacy, and cryopreservation.
- Social well-being benefits like subsidized back-up child/elder care and tutoring.
- Mentoring, coaching, and learning programs.
- Employee Resource Groups.
- Disaster Relief.
We challenge the status quo to craft and build transformative human experiences that win hearts and move markets.
Partnering with passionate leaders and visionary entrepreneurs, we apply creativity, strategy, design, and data to re-invent businesses, drive growth, and orchestrate customer-centric transformation.
Together we strive to shape a regenerative future that is both sustainable and inclusive for businesses, people, and the planet.
Disclaimer
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status, or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities, and Qualifications required for this position. Physical, mental, sensory, or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $140,000 to $170,000. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full-time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.
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You’ll join a diverse team of hardware engineers, software engineers, system engineers, technical program managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Key job responsibilities
AWS Hardware Engineering is looking for a customer-obsessed, team-driven technology leader to take our engineering of server hardware and software to the next level. As a System Development Engineer on the PCIe and Signal Integrity team within the Core Components Organization, you will own the system design of next-generation server components and systems. You will work on the architecture and development of high-speed, complex PCB designs for server components, including PCIe. You will be responsible for PCIe topology for the EC2 servers, including retimer and switch firmware and telemetry. You will work with an interdisciplinary team of engineers to design, develop, validate, launch, monitor and troubleshoot high throughput interfaces at scale. You will design and build hardware and software environments to track fleet performance, validate your designs and to support debugging. At AWS we are changing the industry and want individuals who are ready for a challenge to reach beyond what is possible today.
About the team
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
- 5+ years of non-internship professional software development experience
- 1+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
- BS degree in electrical, computer engineering or equivalent.
- Experience in identifying, root-causing and resolving hardware/firmware/software issues in large scale systems.
- Experience in writing and implementing functional and performance tests for manufacturing and in field coverage, including telemetry.- Master’s degree in electrical, software, computer engineering or equivalent.
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations.
- Experience in building complex software or computing infrastructure.
- Experience with high speed interconnect, including PCIe.
- Experience with developing manufacturing acceptance tests.
- Experience in systems design, operations, automation, and process improvement.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at , WA, Seattle - 129,2 ,800.00 USD annually
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.
Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
About The RoleWe are seeking an experienced Manufacturing Test Engineering Lead to lead our team of manufacturing test and test automation engineers. The successful candidate will be responsible for overseeing the development, implementation, and maintenance of test strategies, processes, and systems to ensure the quality and reliability of our products. This is a key leadership role that requires strong technical expertise, excellent communication skills, and the ability to motivate and manage a team of engineers.
Key Responsibilities:
- Lead and manage a team of manufacturing test and test automation engineers, providing guidance, coaching, and development opportunities to ensure their growth and success.
- Develop and implement comprehensive test strategies and plans to ensure product quality and reliability.
- Collaborate with cross-functional teams, including design engineering, manufacturing, and quality assurance, to ensure test requirements are met.
- Lead the team to develop and implement test systems and processes for efficiency, reduce costs, and enhance product quality improvements.
- Collaborate with test automation and diagnostics team to design, develop, and deploy automated test solutions.
- Identify areas for process improvement and implement changes to optimize test efficiency, reduce cycle time, and improve product quality.
- Develop and track key performance indicators (KPIs) to measure test process effectiveness and efficiency.
- Provide technical guidance and expertise to the test engineering team, including troubleshooting and resolving complex test-related issues.
- Develop and manage budgets for test engineering activities, including capital expenditures and operating expenses.
- Ensure effective utilization of resources, including personnel, equipment, and facilities.
- Communicate test plans, results, and issues to stakeholders, including management, design engineering, manufacturing, and quality assurance.
- Collaborate with other departments to ensure alignment and effective implementation of test strategies and processes.
Requirements:
- Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field.
- 8+ years of experience in manufacturing test engineering
- Proven track record of developing and implementing effective test strategies and processes for a manufacturing environment.
- Strong knowledge of test engineering principles, including test development, test automation, and test process improvement.
- Familiarity with industry-standard test equipment and software, such as National Instruments, Agilent, or LabVIEW.
- Experience with automated test frameworks and programming languages, such as Python, C++, or Java.
- Excellent communication, leadership, and interpersonal skills.
- Ability to motivate and manage a team of engineers, providing guidance, coaching, and development opportunities.
- Strong problem-solving and analytical skills, with the ability to troubleshoot complex test-related issues.
The base salary range for this position is $175,000 to $275,000 annually. Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.
Why Join CerebrasPeople who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
- Build a breakthrough AI platform beyond the constraints of the GPU.
- Publish and open source their cutting-edge AI research.
- Work on one of the fastest AI supercomputers in the world.
- Enjoy job stability with startup vitality.
- Our simple, non-corporate work culture that respects individual beliefs.
Read our blog: Five Reasons to Join Cerebras in 2026.
Apply today and become part of the forefront of groundbreaking advancements in AI!Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.
The client is seeking a Chief Technology Officer for their Irvine location, with a focus on hardware.
The position requires the candidate to be in the office four to five times a week.
The client is open to candidates with experience at the Manager or Director level rather than requiring previous VP or CTO experience.
The role primarily involves management (80%) with some design and architecture responsibilities (20%). Key technologies involved include Java, SpringBoot, Rest API, C++, AWS, Elastic Beanstalk, React, and SQL.
The client is looking for a candidate with strong Java, SQL, and reporting skills, as well as robust design and architecture capabilities.
This role will require the ability to handle business delivery requirements and develop and execute strategies.
The candidate should be comfortable communicating with individuals from various disciplines, including C-level executives, sales, and finance.
They should also have professional experience as a Software Engineering Manager or Director of Software Engineering.
While expertise in Java and SQL is essential, experience with C++ is considered a significant advantage.
The compensation package includes a competitive base salary, full medical, dental, and vision benefits, a 401K plan, equity options, and paid time off.
The client emphasizes offering a sense of ownership and visibility, allowing the individual in this role to make important technical decisions.
This opportunity is also characterized by the ability to influence and drive the client's strategic technical direction.
Data analyst los angeles, ca Data analyst los angeles, ca
Global Data is a team focused on producing international data for LLMs.
For the training of large models, data is the lifeline of model quality - and the Global Data team is working closely with technical, product, and operations teams to ensure effective data production strategies and execution management.
As a key member of our LLM Global Data Team, the LLM Training Operations Analyst will play a pivotal role in managing the intricate processes involved in training large language models (LLMs) with diverse coding datasets.
This role focuses on overseeing and improving operational workflows, primarily for code-related projects, ensuring they are delivered with high quality and efficiency.
Key Responsibilities and Duties: - Project Management: Lead and manage multiple coding-focused LLM training projects, ensuring timelines, quality standards, and objectives are met.
Track project progress, identify risks, and implement corrective actions as necessary to keep projects on course.
Build and maintain strong relationships with product managers, engineers, researchers, data annotators, and other cross-functional team members.
Communicate project updates, address concerns, and align expectations to ensure successful project outcomes.
Coordinate meetings and discussions with global teams to ensure seamless project execution and work with external vendors and trainers per project demands.
- Workflow Design and Management: Design, manage, and optimize workflows for coding-focused LLM training projects, including training design, QA processes, and performance tracking to meet project needs.
Collaborate closely with product managers, engineers, and cross-functional teams to ensure alignment on quality metrics and project expectations.
- Operational Improvement: Conduct quality and productivity improvement experiments to enhance operational processes for code-related training data.
Lead and support general annotation operation improvement initiatives across various data domains.
Develop and maintain technical guidelines and casebooks to support consistent, high-quality data production.
- Data Checking and Analysis: Design and implement data analysis strategies for LLM coding projects.
Analyze annotation quality, model performance, and dataset coverage using statistical and programmatic methods.
Identify data gaps and failure patterns through slice-based evaluations and error analysis.
Use Python (Pandas, NumPy, Matplotlib) and SQL to generate insights and support model training operations.
Collaborate with researchers to inform training strategies and data improvements.
- Team Leadership and Collaboration: Provide mentorship and guidance to team members, helping to develop their skills and ensuring the delivery of high-quality outputs.
Foster a collaborative environment where team members can share knowledge and best practices to improve overall performance.
Minimum Qualifications: - 3+ years of experience in project or operations management roles.
- Experience with programming languages such as Python, Java, Go, or C, acquired through coding projects, or technical, project manager, or scrum master roles in software engineering teams.
- Strong communication and problem-solving skills with the ability to understand and convey code-related concepts effectively.
- Strong project management skills, with the ability to design, manage, and optimize complex workflows.
- Ability to balance independent judgment with collaborative teamwork in a fast-paced, project-based environment.
Preferred Qualifications - Experience in RLHF annotation and working with leading AI/LLM companies on technical projects.
- Experience with codebases and understanding of software development processes, coding best practices, and version control systems (e.g., Git). Familiarity with full-stack concepts, including front-end interfaces, back-end logic, and database integration.
- Proven ability to lead and mentor junior team members in data-related or AI/LLM projects.
- Deep interest in LLMs, computational thinking, and ability to adapt to a high-intensity work environment.
- Enthusiasm for learning, engaging with diverse technical case studies, working with global teams, and comfort with technology tools that enhance project performance.
- Proficiency in Mandarin Chinese (reading and speaking) to effectively communicate with Chinese-speaking global teams.
Site Reliability Engineer Ft Lauderdale, FLSite Reliability Engineer Ft Lauderdale, FL
If you post this job on a job board, please do not use company name or salary.
Experience level: Mid Level (5-8 yrs exp.)
Experience required: 6 Years
Education level: Bachelor’s degree
Job function: Information Technology
Industry: Information Technology and Services
Pay rate : $63 per hour
Total position: 1
Relocation assistance: No
Visa sponsorship eligibility: No
- Act as the primary point of contact for issue management, acknowledging and addressing emergency situations and high-severity incidents with speed and professionalism.
- Collaborate closely with technology teams, product owners, and other relevant stakeholders to investigate, analyze, and resolve issues effectively.
- Drive the resolution process end-to-end by handshaking with respective technology partners, ensuring accountability and clear progress towards closure.
- Provide periodic and structured updates on the status of issues to leadership and all relevant stakeholders, ensuring transparency and alignment.
- Coordinate across multiple teams and functions to facilitate solutions, remove roadblocks, and ensure timely incident resolution.
- Contribute to continuous improvement by identifying root causes and working with teams to prevent recurrence of critical issues.
- Need candidates who have at least 4+ years of experience in Java and open-source technologies.
- Problem-solving skills with a mindset for designing reliable, long-living solutions.
- Exceptional communication and stakeholder management skills, with the ability to collaborate with cross-functional teams, including developers, business analysts, and quality assurance professionals.
- Handling and troubleshooting day-to-day operations.
- Identifying problems or known errors and performing root cause analysis (RCA).
- Knowledge in Agile methodology.
- Must be local to Fort Lauderdale, FL geography.
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Job Description
