aiml - sr machine learning engineer, data and ml innovation

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aiml sr machine learning engineer data and ml innovation

Apple

We are looking for talented machine learning engineers who are excited to tackle some of the most meaningful and technically challenging problems in building and deploying foundation model-based products for our customers. 
 
As a Machine Learning Engineer focused on foundation model evaluation, you will play a critical role in assessing the capabilities of the models that power Apple Intelligence features. 
 
You will work closely with machine learning researchers to translate evaluation insights into actionable improvements that advance future model performance. 
 
Description 
 
As a foundation model evaluation Machine Learning Engineer, you will be entrusted with ensuring that foundation model performance can be measured quickly and reliably, in order to support crucial model shipping decisions. You will design, implement, and maintain crucial evaluation infrastructure. 
 
You will collaborate extensively with ML researchers on both model hillclimbing and developing novel methodologies for measuring model performance. 
 
Your responsibilities will span a number of high-impact parts of the Apple product and foundation model lifecycle.&quot;,&quot;responsibilities&quot;:&quot;Ensure the stability, reliability, and performance of Apple's foundation model evaluation system. 
 
Design and implement novel evaluation methodologies. 
 
Help design and implement tooling to simplify metrics generation, ingestion, and reporting. 
 
Leverage agentic LLM systems to facilitate and improve model evaluations. 
 
Preferred Qualifications 
 
Hands on experience with evaluating large language models at scale or designing large language model benchmarks. 
 
Strong communication skills, able to clearly and concisely convey important information. 
 
Self-motivated and curious. Strive to continually learn on the job. 
 
High level of creative and critical thinking skills with an innate drive to improve how things work. Have a high tolerance for ambiguity and the ability to identify the most important problems to solve. 
 
Minimum Qualifications 
 
5+ years of hands on ML engineering experiences, with at least 1+ years working directly on large language models or generative AI. 
 
Bachelor&rsquo;s, Master&rsquo;s, or PhD in Computer Science, Machine Learning, or a related technical field - or equivalent practical experience. 
 
Strong software engineering fundamentals: debugging, testing, code reviews, and production reliability / scalability. 
 
Hands-on experience with LLM training and / or evaluation workflows, including any of the following: pre-training, post-training, online evaluation, offline evaluation, automated evaluation, human evaluation. 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

AIML - Sr Machine Learning Engineer, Data and ML Innovation

The Intelligence Platform team empowers clients across Apple&rsquo;s operating systems with high-quality, user-centric knowledge and inferences that enable next-generation user experiences. We&rsquo;re an applied Machine Learning team that leverages state-of-the-art technologies-Generative AI, Large Language Models, RAG based systems, and emerging agentic AI patterns-to deliver high-quality inferences at scale! 
 
Description 
 
We are in search of a driven Machine Learning Engineer who has a strong understanding of LLMs and Generative AI and is excited to explore the rapidly evolving landscape of LLM-powered agents, tool-use models, and advanced reasoning techniques. You will help translate groundbreaking research into production systems, influence our technical direction, and shape the future of AI at Apple. 
 
Agentic AI is an emerging area for our team-prior experience is a plus but not required. What matters most is curiosity, strong ML fundamentals, and the ability to navigate and apply cutting-edge research!&quot;,&quot;responsibilities&quot;:&quot;Leading exploration and application of LLMs, Generative AI, and emerging agentic AI techniques (e.g., tool-use models, model-driven planning, task decomposition). 
 
Translating the latest research into high-performing, production-ready ML systems that enhance user experiences across Apple products. 
 
Helping define the technical direction for LLM-driven and agentic AI capabilities within the Intelligence Platform. 
 
Contributing to all phases of model development-problem formulation, experimentation, evaluation, fine-tuning, deployment, and continuous improvement. 
 
Collaborating cross-functionally to design and implement ML solutions, ensuring alignment with product goals, privacy requirements, and performance metrics. 
 
Driving innovation by identifying opportunities to incorporate advanced reasoning, grounding, or agentic patterns into existing ML systems. 
 
Preferred Qualifications 
 
Familiarity with agentic AI, structured tool-use models, or multi-turn reasoning systems. (Not required-experience is a plus, and interest in the domain is highly valued.) 
 
Hands-on experience with end-to-end LLM development: dataset curation, fine-tuning, evaluation, prompt optimization, or model hosting. 
 
Published research demonstrating contributions to LLMs, Generative AI, or related subfields. 
 
Ability to guide technical direction, mentor others, and collaborate effectively in a fast-paced environment. 
 
Minimum Qualifications 
 
Advanced degree (Master&rsquo;s or Ph.D.) in Computer Science, Machine Learning, Artificial Intelligence, or a related field. 
 
Strong experience in Machine Learning, with emphasis on LLMs, Generative AI, or large-scale deep learning systems. 
 
Demonstrated ability to read, interpret, and apply cutting-edge research to real-world engineering problems. 
 
Experience with model training, fine-tuning, or building scalable ML systems. 
 
Strong programming and problem-solving skills. 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Machine Learning Engineer, Proactive - Large Language Models, Generative AI & Agentic Systems

<div>Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Apple delivers great features and great privacy to our users. The Privacy Engineering team works with teams all across the company to make sure that products and services protect user privacy by designing architectures that reduce the exposure of user data at all levels of the technology stack. We are looking for an outstanding candidate to become a member of the Apple User Privacy Team. 
 
Description 
 
We are seeking an experienced engineer to provide privacy guidance to teams across Apple working on machine learning and generative AI infrastructure. This includes feature reviews and the design of new, privacy preserving data collection methodologies to enable the evaluation of AI systems. It also includes guiding the roadmap of privacy technologies at Apple like differential privacy and private federated learning. 
 
In this role you will: 
 
<ul><li>Review features to identify privacy exposures and partner with teams to design mitigations.</li></ul> 
<ul><li>Audit new products to identify bugs in development, and review customer data collected by engineering teams to drive decisions for privacy impact.</li></ul> 
<ul><li>Communicate privacy risks and potential mitigations to senior leadership to drive decisions.</li></ul> 
<ul><li>Guide the development of data collection systems that enable training and evaluation of generative AI systems while preserving privacy.</li></ul> 
<ul><li>Partner with cryptographers and technical experts in SWE and AIML to develop our roadmap for privacy technologies, and provide guidance to engineers and leaders on the right privacy technology to use when developing new features.</li></ul> 
Successful candidates will need to have superb communication skills and a passion for protecting privacy. Creative problem solving, analytical, and deductive reasoning skills are critical for this position. You will be working on multiple unrelated systems each week, so the ability to learn quickly and an excitement for new things is a must. 
 
Preferred Qualifications 
 
Passion for customer privacy 
 
Strong collaboration, communication, interpersonal, and organizational skills 
 
Ability to learn and research new technologies rapidly, assess privacy exposures, and suggest mitigations 
 
Ability to analyze systems&rsquo; architectures for privacy impact 
 
Ability to solve complex problems independently 
 
Programming experience 
 
Minimum Qualifications 
 
BSCS or equivalent experience 
 
Experience with foundation models, including training and evaluation 
 
Experience with differential privacy or private federated learning 
 
Experience conducting privacy reviews 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $257,400 and $386,300, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</div>

Senior Privacy Engineer, Intelligence (User Privacy)

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine 
learning accelerators and the Trainium-based servers that use them. As the SDM of Software Development for the Neuron Training team, you will be responsible for leading a strong team of engineers and managers to help design and deploy these new products. A successful candidate will have an established background in developing Machine Learning products with direct customer-facing experience, a strong technical ability and a motivation to achieve results. Experience in Machine Learning and software development is also a must. 
 
Responsible for the full development life cycle of our integrations and extensions for training support in Pytorch, JAX, and distributed training libraries with a focus on performance of latest ML models at scale on Trainium using latest techniques in performance optimization, accuracy, and resilience. 
 
you will lead the way to ensure support for key ML functionality in a combined chip / software platform, which will ensure the right thing is being built and delivered to customers 
 
Key job responsibilities 
<ul><li>Lead a team of engineers focused on enabling new ML training customers on the Neuron SDK / Trainium platform.
</li><li>Own the customer onboarding journey from model evaluation through production training at scale</li><li>Drive engineering initiatives to maximize Model FLOPS Utilization (MFU) for customer workloads through performance analysis, profiling, and tuning tools.
</li><li>Build and maintain tooling, automation, and documentation that accelerates time-to-first-training for new customer models.
</li><li>Partner with compiler, runtime, and framework teams to identify and resolve blockers in customer workloads.
</li><li>Develop scalable processes for distributed training enablement (FSDP, DeepSpeed, Megatron, custom parallelism strategies).
</li><li>Drive technical strategy for supporting frontier model architectures (LLMs, MoE, multi-modal) on Trainium.
</li><li>Build strong cross-functional partnerships with product management, developer relations, and customer-facing teams.
</li><li>Recruit, mentor, and grow a high-performing team of ML systems engineers.
</li></ul> 
A day in the life 
You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions. This organization builds the full stack of software, servers and chips to accelerate at the highest scale. 
 
About the team 
About Us 
Inclusive Team Culture 
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon&rsquo;s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. 
 
Work/Life Balance 
Our team puts a high value on work-life balance. It isn&rsquo;t about how many hours you spend at home or at work; it&rsquo;s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. 
 
Mentorship &amp; Career Growth 
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we&rsquo;re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.</div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>Experience working with PyTorch or JAX software</li><li>3+ years of engineering team management experience</li><li>7+ years of working directly within engineering teams experience</li><li>3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience partnering with product or program management teams</li><li>3+ years of experience in deep learning / machine learning, including model training workflows</li><li>Experience with distributed training at scale (multi-node, multi-accelerator)</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware</li><li>Experience directly managing scientists or machine learning engineers</li><li>Experience debugging, profiling, and implementing best software engineering practices in large-scale systems</li><li>Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience with CUDA kernels or ML/low-level kernels</li><li>Experience with performance analysis, profiling, and optimization for deep learning training workloads</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;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 &amp; AD&amp;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 https://amazon.jobs/en/benefits. 
USA, CA, Cupertino - 212,700.00 - 287,700.00 USD annually</div>

Software Development Manager, AWS Neuron SDK - Distributed Training

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! 
 
The people here at Apple don&rsquo;t just build products - they create the kind of wonder that&rsquo;s revolutionized entire industries. It&rsquo;s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it! 
 
Description 
 
Join our dynamic Product Operations team. We lead the Operations technical teams during the development of the next generation products. As the technical lead for a product line, you will partner closely with multi disciplinary teams during all phases of development to enable product success. 
 
In this position, you will have responsibility for products prior to launch, with the goal of enabling strong quality during the development cycle. This position partners with engineering, product development, reliability engineering operations, AppleCare, and component teams. Strong Quality engineering skills in technical, statistical knowledge, Failure analysis, Exec presentations, and program management experience are essential. 
 
To be a successful team member within Product Operations you will partner with the Operations technical team (DFx, DFm, Test, SQE, PQE and others) during product development and high volume production. As a technical advisor for the product line, you will partner closely with Engineering throughout the lifecycle of development to enable operational success through to mass production.&quot;,&quot;responsibilities&quot;:&quot;Support technical readiness for during program development cycle 
 
Drive project quality issues with material, process, fixtures, equipment etc. during the new-product phase to enable delivery of a mature product and manufacturing process into mass production 
 
Utilize DOE, FMEA, and other industry-standard tools to proactively identify and address risks and optimize process parameters 
 
Establish quality programs and process control plans for early detection of issues and to ensure the highest level of quality and reliability is consistently delivered 
 
Manage the Product Quality Plan (PQP), innovating as needed to ensure robust quality for new products 
 
Develop and implement new technologies to improve production quality, capacity, and efficiency 
 
Succinctly communicate technical updates to the executive team 
 
Own product quality strategy and execution 
 
Manage the quality processes at the OEMs, including Incoming Quality Control (IQC), Outgoing Quality Control (OQC), Ongoing Reliability Testing (ORT) 
 
Ensure contract manufacturers are prepared for pre-production builds 
 
Evaluate prospective suppliers regarding quality management 
 
Incorporate lessons learned from sustaining / shipping products into design and process improvements for next-generation products 
 
Work with commodity managers and supplier quality engineers to ensure component quality &amp; reliability; make recommendations to improve design/test 
 
International travel up to 25% 
 
Preferred Qualifications 
 
MS in Mechanical, Electrical, Industrial Engineering or equivalent 
 
Laser-focused on the smallest details and able to use data forensics to solve complex manufacturing assembly quality issues 
 
Proven experience in one or more of the following subject areas: New Product Introduction / Design Engineering / Manufacturing Operations consumer electronics 
 
Good understanding of electronic assembly processes 
 
Solid understanding of statistical analysis and production control processes 
 
Knowledgeable in data analysis and interpretation ; Tableau scripting and JMP scripting knowledge is preferred 
 
Experience partnering with international contract manufacturers in mass production; experience traveling to manufacturing sites 
 
Must be a self starter with innovation, integrity, and attention to detail 
 
Outstanding communications skills 
 
Minimum Qualifications 
 
BS in Mechanical, Electrical, Industrial Engineering or equivalent 
 
5+ years of experience is Quality Engineering in a Manufacturing setting 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $128,400 and $236,700, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Product Quality Manager - Home

The US Sales Finance PART (Process, Analytics, Reporting, and Technology) team is looking for a passionate and highly motivated technical Finance Analyst to support Apple's growth, top and bottom line. 
 
The PART organization exists to help the Sales Finance team operate at a higher altitude: working across process and systems to reduce manual work, build automated solutions, and unlock insights. Our experience with data foundations and process work positions us well to guide the Sales Finance organization through AI transformation. 
 
The PART team builds the library (building organized, curated information assets for Finance) and acts as librarians (subject-matter experts who guide partners to the right answer) for Sales Finance. 
 
Description 
 
This role sits at the intersection of finance, process, and technology. You will spend your time understanding how the US Sales Finance team works today and identifying opportunities to improve the data landscape, eliminate manual deliverables and streamline ad-hoc requests. 
 
From there, you will partner with engineering and data teams to deliver enterprise-quality solutions, or build technical solutions yourself. 
 
You will be hands-on where it helps: writing SQL to investigate a data question, contributing to our data ecosystem in Dataiku, building a Tableau dashboard or data source to surface important data to humans or systems, drafting requirements that engineering can build against. 
 
A solution only counts when it gets used. You will spend time training analysts on what you build, writing documentation, and answering questions across all tools and data, including what you build.&quot;,&quot;responsibilities&quot;:&quot;You will work directly with the US Sales Finance team to deeply understand business priorities and process. 
 
Champion process adoption through collaboration, documentation, and training. 
 
Own projects from initiation through delivery including planning and directing schedules. 
 
Set the standards and tools in which the Sales Finance team completes its work. 
 
Partner with technical teams to design and develop requirements into workable solutions and lead the solution for the Sales Finance organization. 
 
Preferred Qualifications 
 
Strategic &amp; tactical balance - consistent track record of leading cross functional projects, combined with the ability to implement tactical project-level activities. 
 
User-centered delivery - strong focus on delivering results that work for end-users within technical constraints. 
 
Business process fluency - ability to quickly learn the end-to-end business processes of a large, multi-function organization. 
 
Stakeholder communication - ability to clearly and effectively communicate and maintain relationships with a diverse group of internal partners, including representing business problems in terms of product requirements. 
 
Influence without authority - experience influencing technical teams through credibility and without direct authority. 
 
Finance background - comfort with financial modeling, accounting principles and scenario analysis. 
 
SQL / data analysis - comfort with Excel and SQL for ad-hoc analysis; experience working with large datasets in enterprise warehouses (Snowflake, BigQuery, or similar) a plus. 
 
Data management &amp; governance - understanding of data management best practices to ensure a sustainable and automation-ready data strategy. 
 
Data accessibility - Tableau or similar; ability to build dashboards or data sources that are usable to the business immediately. 
 
GenAI tooling - interest and experience with AI based tools to improve process, understand data, create documentation, and drive concrete value. 
 
AI landscape - strong curiosity about the latest AI developments and thoughtfulness about how to apply them in a governed Finance environment where accuracy is critical. 
 
Python - scripting for data manipulation, automation, and lightweight tooling (pandas, Streamlit). 
 
Workflow automation - Dataiku or similar low-code platforms, ability to convert manual Excel processes into repeatable pipelines. 
 
Minimum Qualifications 
 
5+ years of experience in finance-related business analysis, planning, strategy, and/or program and portfolio management roles. 
 
Bachelor's of Science (BS) or equivalent degree in Finance, Business Management, Computer Science, Engineering or a related field required. 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $137,900 and $207,300, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

US Sales Finance PART Analyst

Tata Consultancy Services (TCS)

<div></div><div><div><div><div>Key responsibilities
<ul><li>Experience solving complex business problems through analytics</li></ul>
<ul><li>Data Storytelling</li></ul>
<ul><li>Experience in building scalable dashboards</li></ul>
<ul><li>Strong in SQL, Python, Tableau, Snowflake, and AI tools (ChatGPT, Claude).</li></ul>
<ul><li>Exp in Developing Snowflake ETL pipelines</li></ul>
<ul><li>Deliver insights to leadership for strategic decisions</li></ul>
<ul><li>Partner with cross-functional teams (product, operations, finance) to identify business</li></ul>

 problems and deliver data-driven solutions for global product launches

Location: Cupertino, CA

Salary Range:$90,000-$140,000 a Year 

</div></div></div><div><div><div>Location</div>
<div>Cupertino, CA</div>
</div><div><div>Job Function</div>
<div>TECHNOLOGY</div>
</div><div><div>Role</div>
<div>Analyst</div>
</div><div><div>Job Id</div>
<div>416980</div>
</div><div><div>Desired Skills</div>
<div>Python | SQL | Tableau</div>
</div><div><div>Salary Range</div>
<div>$90,000-$140,000 a year</div></div></div></div><div></div>

Data Analyst

Explore 10+ Aiml sr machine learning engineer data and ml innovation in Cupertino this June. Find roles across top companies and apply now to boost your career.