data reporting analyst - production support engineer

operations product development - design intelligence analyst

retail finance - process, analytics, reporting and technology (part) analyst

administrative assistant, hardware technology

data engineer, part dataops Jobs in Cupertino

data engineer, part dataops

data reporting analyst - production support engineer Jobs in Cupertino

financial analyst, engineering finance Jobs in Cupertino

financial analyst, engineering finance

operations product development - design intelligence analyst Jobs in Cupertino

retail finance - process, analytics, reporting and technology (part) analyst Jobs in Cupertino

data reporting analyst production support engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Key Responsibilities
</div><ul><li> Experience in Sales or Channel Performance reporting and related metrics and KPIs, ideally within a technology company
</li></ul><ul><li> Demonstrated ability to support business-critical Business Intelligence platforms in an operational capacity
</li></ul><ul><li> Experience querying data sources to investigate, validate, and explain data to business users
</li></ul><ul><li> Experience working with BI platforms and tools such as Tableau, ThoughtSpot, Business Objects, or equivalent
</li></ul><ul><li> Ability to manage concurrent support requests across multiple platforms and time zones with consistent quality and responsiveness
</li></ul><ul><li> Strong written and verbal communication skills, with the ability to translate technical findings into clear business language
</li></ul><ul><li> Bachelor's degree or equivalent experience required</li></ul> 
<div> 
</div><div>Preferred Qualifications
</div><ul><li> Familiarity with B2B and B2C sales reporting structures, including Institutional Sales, Consumer Channel metrics, and related data definitions such as ICDF
</li></ul><ul><li> Experience operating within automated support workflows (e.g., Slack-based intake, chatbots, or ticketing systems) and managing exception handling when automation is insufficient
</li></ul><ul><li> Ability to work effectively in a globally distributed team model with regional handoff requirements and follow-the-sun coverage expectations
</li></ul><ul><li> Knowledge of data pipeline concepts sufficient to distinguish between data latency, logic errors, and platform defects during investigation
</li></ul><ul><li> Experience collaborating with engineering and product teams to escalate, document, and track resolution of platform issues</li></ul> 
<div> 
</div><div>Salary Range : $70,000-$130,000 a year
</div><div>#LI-AS3
</div></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>Engineer</div>
</div><div><div>Job Id</div>
<div>406145</div>
</div><div><div>Desired Skills</div>
<div>Business Intelligence(BI) | Tableau | Data Analyst | Sales</div>
</div><div><div>Salary Range</div>
<div>$70,000-$130,000 a year</div></div></div></div><div></div>

Data Reporting Analyst - Production Support Engineer

Apple

As a Commodity Finance Analyst, you will play a critical role in managing Apple's commodity costs, ensuring accurate financial reporting, and supporting strategic decision-making within the Worldwide Procurement Finance team. You will be responsible for forecasting commodity prices, analyzing variances, and collaborating with operations and supply chain teams to optimize costs and mitigate risks in a dynamic global market. Additionally, this role requires strong technical expertise in data querying, dashboard development, and large-scale data analysis. You will design and build scalable Tableau dashboards, write complex SQL queries, and leverage tools such as Dataiku to improve reporting efficiency, enhance data transparency, and support strategic decision-making. 
 
Your work will directly influence gross margin performance, operational efficiency, and strategic sourcing decisions in a fast-paced global environment. 
 
Description 
 
The Worldwide Procurement Finance group provides analytical support for key cost data, including standard costs, forecasted costs, and actual costs for Apple&rsquo;s extensive range of commodities. As a Commodity Financial Analyst, you will report to the Manager of Commodity Financial Management and support specific commodities or categories. 
 
This role expands beyond traditional financial analysis to include ownership of data architecture, dashboard development, and process automation. You will work with large, complex datasets from multiple systems (ERP, supply chain, contract manufacturers, suppliers), transforming raw data into actionable insights and executive-level reporting. 
 
You will operate with minimal direct supervision, performing complex and non-routine analytical tasks that directly impact gross margin and profitability. The ideal candidate combines strong financial acumen with technical data skills and a continuous improvement mindset. Our team is highly collaborative and values innovation, automation, and scalable solutions. 
 
&quot;,&quot;responsibilities&quot;:&quot;Design, develop, and maintain interactive Tableau dashboards for commodity cost analysis, reporting, and executive reviews. 
 
Write complex SQL queries to extract, transform, and analyze large datasets from ERP and data warehouse systems. 
 
Leverage tools such as Dataiku (or similar platforms) to automate data preparation, modeling, and reporting workflows. 
 
Build scalable, automated reporting solutions to improve efficiency and reduce manual processes. 
 
Prepare key commodity forecasts used in monthly purchase price variance (PPV) forecasting and gross margin analysis. 
 
Reconcile actual costs to forecasted costs and analyze key drivers of commodity cost changes. 
 
Perform supply chain analysis to identify trends, risks, and cost optimization opportunities. 
 
Reconcile and analyze supply chain data against contract manufacturer and supplier data. 
 
Prepare quarter-end accounting entries to accurately represent commodity costs in financial statements. 
 
Support ad hoc supply chain business process reengineering initiatives. 
 
Preferred Qualifications 
 
Experience with SAP or other ERP systems. 
 
Experience with Dataiku or similar data science/ETL platforms. 
 
Operations and Supply Chain Finance experience. 
 
Experience with data modeling, automation, and process optimization initiatives. 
 
Familiarity with data warehousing concepts and financial data governance. 
 
Programming experience in Python or similar language for data analysis (a plus). 
 
Minimum Qualifications 
 
Bachelor&rsquo;s degree in Accounting, Finance, Data Analytics, Information Systems, or related field. 
 
5+ years of experience in finance, supply chain finance, cost accounting, or related analytical role with strong technical exposure. 
 
Advanced Excel skills (financial modeling, large dataset handling, complex formulas). 
 
Strong SQL skills with demonstrated experience querying large relational databases. 
 
Experience building dashboards and visualizations in Tableau (or comparable BI tool). 
 
Experience working with large, complex datasets across multiple systems. 
 
Strong analytical and problem-solving skills at both macro and micro levels. 
 
Excellent oral and written communication skills with the ability to translate complex data into clear business insights. 
 
Detail-oriented with strong ability to handle ambiguity and uncertainty. 
 
Proven ability to work independently and drive results. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
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.

Commodity Finance & Data Analyst

The Maps Data Platform Workflows Team oversees the processing and management of data and workflows at the core of Apple Maps. We build and maintain the systems that enable processing and workflow management of petabytes of map data that powers the Apple Maps experience used by millions of people every day! 
 
As a Maps Data Platform engineer, youʼll design and help implement systems which empower teams across engineering and operations to build our future Apple Maps experiences! 
 
Description 
 
The Maps Data Platform Workflows Team builds and maintains the foundation that powers Apple Maps. We are responsible for providing scalable and extensible workflows that handles petabytes of map data, enabling various aspects of Map building including but not limited to data ingest, map updates, review process, and traceability. 
 
As a full-stack engineer on the team, you will primarily be responsible to build user experiences that powers various workflows involved in Map building life cycle. This position is ideal for innovative engineers who are passionate and excited to work in complex, fast-paced and ambiguous environments to deliver tangible results keeping in mind our end users and their experiences.&quot;,&quot;responsibilities&quot;:&quot;Build user experiences that powers various workflows involved in Map building life cycle. 
 
Implement foundational platform components to support Generative-AI based multi agent systems. 
 
Work closely with multi functional teams to enhance and improve our workflow solutions. 
 
Design and implement scalable and extensible platform components to support the user experiences across a dynamic range of use cases. 
 
Implement foundational platform components to to support Generative-AI based multi agent systems. 
 
Partner with a wide array of cross functional partner teams and stakeholders to understand the requirements to help build the best-in-class user experiences. 
 
Drive end-to-end delivery of the software projects and enable platform users across the Maps organization. 
 
Support and improve new and existing user experiences that power Apple Maps. 
 
Preferred Qualifications 
 
Experience with platform based approach to building user experiences with integration with REST and/or GraphQL APIs to enable scalability and reusability. 
 
Experience with Geospatial applications or mapping libraries (Mapbox, Leaflet or similar) 
 
Understanding of authentication and authorization mechanisms, including JWT and OAuth. 
 
Proven success applying Generative AI to production systems beyond prompt engineering. 
 
Minimum Qualifications 
 
Bachelor&rsquo;s degree and 4+ years of experience building and maintaining production systems. 
 
Strong hands-on experience with React, including hooks, context, and performance optimization techniques. Proficiency in TypeScript for building scalable and maintainable frontend applications. 
 
Experience with modern state management solutions such as Redux Toolkit, React Query, or Apollo. 
 
Familiarity with data visualization and charting libraries such as Highcharts, Recharts, Chart.js, or D3. 
 
Solid understanding of component-based architecture and reusable UI patterns. 
 
Experience in building scalable and low latency JVM-based web services using Scala or Java. 
 
Strong understanding of distributed data storage systems (both databases and indexes). 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
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 $147,400 and $272,100, 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.

Full Stack Engineer - Maps Data Platform Workflow Team

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. 
 
Are you passionate about taking AI from prototype to production at scale? 
 
Do you enjoy the craft of prompt engineering, retrieval optimization, and grounding? 
 
Can you build AI systems that are not just impressive demos, but reliable production tools? 
 
The Applied Data Science team within Legal Operations is building production-grade AI for a global legal organization. The AI/ML Engineer role is central to this mission - prototyping AI solutions, then scaling them to production systems that attorneys rely on every day. 
 
Description 
 
The AI/ML Engineer builds AI capabilities from prototype to production. You will develop prompt engineering solutions, RAG pipelines, AI agents, and evaluation frameworks - starting with rapid prototypes to validate use cases, then engineering them into scalable, production-grade systems. This role requires both the creativity to explore what's possible and the rigor to build what's reliable.&quot;,&quot;responsibilities&quot;:&quot;Prototype AI solutions to rapidly validate use cases and demonstrate feasibility 
 
Scale successful prototypes into production-grade systems with reliability, monitoring, and maintainability 
 
Implement prompt engineering solutions optimized for legal use cases 
 
Build and optimize RAG (Retrieval-Augmented Generation) pipelines using vector databases and knowledge graphs 
 
Develop context engineering approaches that leverage the semantic layer for improved accuracy 
 
Implement grounding mechanisms to reduce hallucinations and improve factual accuracy 
 
Build evaluation frameworks to measure AI accuracy, relevance, and safety across use cases 
 
Integrate AI capabilities with legal workflows (CLM, matter management, eBilling) 
 
Develop AI agent solutions for automation use cases across legal operations 
 
Implement guardrails and safety mechanisms for production AI systems 
 
Collaborate with AI Architect on system design and technical standards 
 
Support AI Product Developers with APIs, integration patterns, and technical guidance 
 
Preferred Qualifications 
 
Experience with LangChain, LlamaIndex, or similar LLM orchestration frameworks 
 
Experience with agentic AI frameworks (LangGraph, CrewAI, or similar) 
 
Familiarity with knowledge graphs and GraphRAG patterns 
 
Experience with AI evaluation tools (RAGAS, DeepEval, or similar) 
 
Knowledge of legal domain and legal NLP applications 
 
Experience with guardrails and safety frameworks (Guardrails AI, NeMo Guardrails) 
 
Understanding of MCP (Model Context Protocol) or similar integration patterns 
 
Experience deploying and monitoring AI systems at scale 
 
Track record of shipping AI products that users rely on 
 
Minimum Qualifications 
 
4+ years of delivering solutions in AI/ML engineering, NLP, or related roles 
 
Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar) 
 
Experience with LLM APIs (OpenAI, Anthropic, or similar) 
 
Experience with RAG architectures and vector databases 
 
Understanding of prompt engineering techniques and best practices 
 
Experience taking AI systems from prototype to production 
 
Experience with evaluation frameworks for AI systems 
 
Supporting AI applications in production 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
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 $172,100 and $258,600, 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.

AI/ML Engineer, Applied Data Science

The Retail Finance Process, Analytics, Reporting, and Technology (PART) team is looking for a passionate and highly motivated analyst. As part of this team, you will support Apple's growth, both top and bottom line, by applying the same level of innovation toward financial matters as we do toward our products and services. We work closely with various business teams to deeply understand current and future commercial initiatives and then partner with data engineering, data science and full stack development teams to ensure our finance teams are fully empowered to operate efficiently and make well informed decisions. 
 
Description 
 
We are looking for an outgoing professional with high analytical capacity, creativity, intellectual curiosity and strong interpersonal skills to support the WW Retail Finance Organization. In this role, you will be responsible for partnering across business teams to execute on internal reporting, applications and data optimization. This work will enable to Retail Organization to leverage opportunities and improve key finance capabilities. The position requires the ability to understand and work with complex data sets, generated from equally complex business processes, in order to drive insights. &quot;,&quot;responsibilities&quot;:&quot;Deeply understand Apple's relevant business activities, commercial interests and related processes 
 
Partner with and train analysts to best use our data and technology infrastructure for building dashboards/reports and conducting analyses 
 
Proactively identify opportunities to improve processes, tools, or analysis, demonstrating intellectual curiosity beyond the immediate scope of work. 
 
Translate opportunities/business requirements into technical requirements and work with technical partners to assess feasibility and form project plans 
 
Communicate the business value of proposed projects to senior leadership by framing opportunities in terms of impact, feasibility, and alignment with strategic goals, enabling effective prioritization and resourcing decisions 
 
Drive prioritized projects and communicate progress on planned milestones to senior leadership 
 
Collaborate with engineering and data partners to influence tool and pipeline design decisions that improve usability and long-term maintainability 
 
Document and share reusable frameworks, templates, and tools to improve onboarding and speed up solution delivery 
 
Preferred Qualifications 
 
Excellent problem-framing, problem solving and project management skills, with the ability to change direction quickly 
 
Strong verbal and written communication skills with ability to articulate results of analysis in business terms 
 
Confirmed ability to conduct complex, data driven analysis 
 
Knowledge of SQL and working with large datasets 
 
A basic understanding of data design pattern differences between transactional ERP systems (e.g. SAP) and analytical data warehouses (e.g. BigQuery, Snowflake) 
 
Experience building interactive data visualizations, strong storytelling skills (e.g. Tableau, Streamlit, Shiny) 
 
Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity 
 
Knowledge of accounting principles, financial statements, and financial modeling 
 
Experience with data analytics tools and languages (e.g. R, Python) 
 
Experience building/applying statistical and/or machine learning solutions to solve business problems 
 
Minimum Qualifications 
 
5+ years consulting or financial/business/data analyst experience 
 
BS/MBA in Finance, Accounting, Economics, Business Analytics or BS/MS in STEM or quantitative field (CS, Applied Statistics, Operations Research) 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
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.

Retail Finance - Process, Analytics, Reporting and Technology (PART) Analyst

We&rsquo;re looking for a Senior Software Engineer to help build the next generation of large-scale data systems that power high-impact decisions across Siri. In this role, you'll operate at the intersection of engineering excellence and business impact. You&rsquo;ll design and implement scalable, reliable systems to transform raw data into actionable insights for leadership. This is a high-visibility, high-impact position with the opportunity to influence the direction of products and strategy. 
 
The Siri User Experience Metrics team is at the heart of shaping how users interact with Siri every day. We use data, metrics and insights to continuously improve Siri&rsquo;s User Experience across Apple platforms including iOS, macOS, visionOS, tvOS and watchOS. 
 
Our team defines and owns the most critical user facing metrics, identifies quality issues, builds scalable reporting tools and delivers actionable insights that directly inform product decisions. We collaborate closely with product, platform and feature teams to ensure Siri not only works - but delivers exceptional User Experience. From response time to failure tracking, we make sure Siri feels fast, natural and helpful wherever users need it. 
 
As a Senior Software Engineer on the Siri User Experience Metrics team, you will have significant influence and responsibility in identifying and alert on quality issues using data and metrics to shape Siri&rsquo;s User Experience. 
 
If this sounds like you, you're someone who&rsquo;s laser-focused on impact - bringing sharp programming skills, strong problem-solving abilities and clear communication to the table, all driven by a passion for building exceptional products. 
 
You'll have the opportunity to drive meaningful impact across all Apple platforms by collaborating closely with Engineering, Product, Testing and Quality teams. Your work will directly enhance the Siri experience for billions of users - shaping how people interact with Apple every day. 
 
Description 
 
Join us in building the data backbone of Siri&rsquo;s regression detection system - the platform that enables engineering teams and senior leadership to see, understand, and improve product quality. In this role, you&rsquo;ll build large-scale data systems that power metrics observability at scale. Success in this role means not only technical excellence, but also the ability to collaborate across teams, communicate effectively and align diverse stakeholders around solving complex, high-impact challenges. 
 
You thrive in fast-paced, dynamic environments and are comfortable navigating ambiguity to deliver meaningful, incremental impact. You bring strong problem-solving skills, operate with a high degree of autonomy and have a track record of executing effectively. With a commitment to continuous learning and attention to detail, you actively seek opportunities to innovate and share knowledge. You follow engineering best practices - including unit testing, CI/CD, documentation, monitoring, and alerting - to ensure reliable, maintainable solutions. In this role, you&rsquo;ll collaborate closely with stakeholders to understand metric needs, provide technical guidance, gather requirements and deliver robust data solutions and intuitive dashboards. 
 
Preferred Qualifications 
 
Experience supporting the end-to-end machine learning lifecycle, including data ingestion, feature pipelines, batch inference, and model monitoring in production environments. 
 
Hands-on experience building, scheduling, and maintaining data and ML workflows using orchestration frameworks such as Apache Airflow 
 
Experience working in cloud environments (AWS, GCP, or Azure) and integrating data pipelines with cloud-native storage and compute services 
 
Minimum Qualifications 
 
7 years of development experience and Bachelors or Masters degree in Computer Science or related field or 5 years development experience and PhD in Computer science or related field. 
 
Expert knowledge of one or more object-oriented programming languages (Java, Objective-C, C++, Scala, Swift etc) or scripting languages (Python, Ruby, Bash etc.). 
 
Experience working with Spark or other distributed data technologies (e.g. Hadoop, Presto, Flink, Druid) for building efficient and large scale data systems. 
 
Expertise in development of big data systems and ETL for product metrics and analysis of large data volumes to identify patterns, draw insights and troubleshoot issues. 
 
Knowledge of SQL to analyze data, derive insights and drive improvements. 
 
Leadership experience, including being a technical lead for complex, cross functional development projects demonstrating good technical judgement and prioritization skills. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
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.

Sr Software Engineer, Siri User Experience Metrics and Data

Catalyst Labs

<div>
 
 About The Job ML Engineer
 
 
 
 
 Our Client
 
 
 
 Is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales and service teams work. Their AI technology captures and analyzes real-world conversations, providing full visibility into every customer interaction without the need for traditional ride-alongs.
 
 
 By turning field conversations into searchable, actionable data, they empower teams to coach more effectively, close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep understanding of field sales dynamics, this company is redefining how businesses learn from and optimize their in-person customer experiences.
 
 
 
 About Us
 
 
 
 Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that&rsquo;s deeply embedded in our clients&rsquo; recruitment operations.
 
 
 We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems.
 
 
 
 Location
 
 : New York, NY
 
 
 
 Work type
 
 : Full Time,
 
 
 
 Compensation
 
 : above market base + bonus + equity
 
 
 
 Roles &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecyclefrom conception to deployment and maintenance.
 </li>
 <li>
 Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding.
 </li>
 <li>
 Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.
 </li>
 <li>
 Build agents capable of operating natively on real-world audio inputs.
 </li>
 <li>
 Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.
 </li>
 <li>
 Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
 </li>
 <li>
 Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.
 </li>
 <li>
 Participate in continuous improvement of the ML infrastructure and processes for scalability and performance.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
 </li>
 <li>
 1-6 years of professional experience in ML engineering.
 </li>
 <li>
 Strong programming skills in Python (TypeScript experience is a plus).
 </li>
 <li>
 Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
 </li>
 <li>
 Familiarity with cloud environments and infrastructure (preferably AWS).
 </li>
 <li>
 Strong understanding of data pipeline design, real-time inference, and model monitoring.
 </li>
 <li>
 Excellent communication skills with the ability to engage directly with customers and stakeholders.
 
 
 </li>
 </ul>
 
 Core Experience
 
 
 
 <ul>
 <li>
 Proven experience building and deploying ML models into production environments.
 </li>
 <li>
 Demonstrated ability to own the full model lifecyclefrom data ingestion and model development to deployment and monitoring.
 </li>
 <li>
 Experience with audio-focused ML projects or similar domains involving unstructured data.
 </li>
 <li>
 Proficiency in building scalable data pipelines for model training and evaluation.
 </li>
 <li>
 Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.
 </li>
 <li>
 Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.
 </li>
 </ul>
</div>

ML Engineer

Explore 105+ Data reporting analyst production support engineer in Cupertino this April. Find roles across top companies and apply now to boost your career.