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operations engineer, operations engineering Jobs in San Francisco

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operations engineer operations engineering

Amazon

<div>
 
 Description
 
 
 
 As an Operations Engineer, you will lead and manage the lifecycle of challenging cross-functional projects, developing and delivering the next generation of sortation and distribution solutions. You are a customer obsessed leader that will play an integral part in planning and implementation of the facility network infrastructure including new builds, retrofits, expansions and program initiatives. Partnering with internal customers and internal/external stakeholders to engage as a team and ensure a timely handover will be part of your critical tasks.
 
 
 As an Operations Engineer for Amazon, you will work with some of the most talented engineers in the design, development, and delivery of physical distribution systems around the globe. You are responsible for managing a technology or integration project, successfully delivering the solution to meet project goals. You may work directly with external equipment vendors, customers, or partners, and you have a solid understanding of the design approaches and industry technologies utilized in fulfillment and distribution center designs. To meet timelines and minimize disruption to support teams, you manage the overall schedule, proactively mitigate risks, and keep the scope of engineering deliverables under control.
 
 
 This role requires up to 80% travel and availability to work from a corporate office when not traveling. Candidates should either live near or be willing to relocate within a reasonable commuting distance of the office. Relocation assistance may be provided.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Work independently with internal and external teams to successfully manage the lifecycle of challenging projects, and act as owner in delivering on project objectives and targets. Projects may span organizations or geographies in support of business objectives.
 </li>
 <li>
 Actively participate in firm engineering reviews, and make tangible impact on the proposed solutions on an individual system or its components, on the overall systems architecture, and on facility processes.
 </li>
 <li>
 Partner with internal teams, stakeholders and external vendors to set project priorities, establish milestones, and drive schedules to meet deadlines. Proactively assess stakeholders&rsquo; dependencies and milestones, problem-solve and drive solutions to mitigate the impact from the issues.
 </li>
 <li>
 Lead and coordinate all execution efforts in delivering systems and automated equipment designs per established standards and guidelines. Perform equipment/system installation, throughput and safety qualifications. Simplify, optimize, remove bottlenecks and provide feedback while resolving difficult system problems or technical deficiencies.
 </li>
 <li>
 Lead effective meetings by setting the objectives, putting the right people in the room and driving detailed business and technical discussions/alignment. Document meeting discussions, decisions and future steps, ensuring alignment on expectations with internal partner teams and outside vendors.
 </li>
 <li>
 Promptly and accurately communicate project status, risk analysis and risk mitigation plans. Effectively answer project questions in detail, and regularly produce clear and concise summaries for the project to leadership/management team.
 </li>
 <li>
 Competently articulate system and/or equipment designs, including layouts, technical specifications and functional capabilities to internal customers and partner teams.
 </li>
 <li>
 Efficiently manage change order controls, purchase orders, and invoice validation/approvals.
 </li>
 <li>
 Excel at building strong working relationships with internal and external stakeholders across multiple projects.
 </li>
 <li>
 Identify and lead process improvement initiatives that improve the Engineering and cross-teams&rsquo; efficiencies, optimizing the teams&rsquo; value and delivery. Through collaboration, generate high-quality, cost-effective solutions in compressed periods of time.
 </li>
 <li>
 Up to 80% travel domestically although travel intensity can be variable and consist of up to three weeks in a row, including weekends.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Industrial Engineering, Mechanical Engineering, or other STEM field
 </li>
 <li>
 4+ years of experience as a Project Engineer, Process Engineer, Project Manager, Manufacturing Engineer, or related occupation
 </li>
 <li>
 Experience managing the lifecycle of cross-functional projects, implementing automated equipment and/or integrated systems
 </li>
 <li>
 Experience with CAD software (AutoCAD, REVIT, BIM 360, etc.)
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Engineering, Operations, Business Administration, or a related STEM field
 </li>
 <li>
 Operations Management/Distribution Center experience with direct management or responsibility for material handling, automation, or other technical projects
 </li>
 <li>
 Experience with Six Sigma and/or Lean Manufacturing
 </li>
 <li>
 Experience with Microsoft Project, Smartsheet programs
 </li>
 <li>
 Experience with design and/or implementation automation solutions, such as Conveyors, Sorters, high speed manufacturing and packaging lines, Robotic work cells
 </li>
 <li>
 Proven technical leadership for industrial engineering projects or program
 
 
 </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.
 
 
 Pursuant to the San Francisco 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.
 
 
 Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $68,900/year in our lowest geographic market up to $126,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
 
 
 
 
 Company
 
 - Amazon.com Services LLC
 
 
 Job ID: A2893081
</div>

Operations Engineer, Operations Engineering

Hayden AI

<div>
 
 About Us
 
 
 
 At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.
 
 
 From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.
 
 
 
 Job Title:
 
 Machine Learning Operations Engineer
 
 
 
 Company:
 
 Hayden AI Technologies, Inc.
 
 
 
 Location:
 
 460 Bryant Street, Suite 100, San Francisco, CA 94107
 
 
 
 Position Duties
 
 
 
 <ul>
 <li>
 Optimize orchestration processes to ensure efficient deployment and management of AI models.
 </li>
 <li>
 Implement cost-saving strategies to minimize infrastructure expenses while maximizing performance.
 </li>
 <li>
 Upgrade throughput to enhance scalability and responsiveness of AI systems.
 </li>
 <li>
 Collaborate with cross-functional teams to identify bottlenecks and implement solutions to improve workflow efficiency.
 </li>
 <li>
 Ship new features and updates rapidly while maintaining high levels of quality and reliability.
 </li>
 <li>
 Deploy and monitor machine learning models produced by deep learning engineers.
 </li>
 <li>
 Design, deploy, and maintain performant and scalable processes for data acquisition and manipulation to enhance dataset accessibility.
 </li>
 <li>
 Participate actively in the team's software development process, including design reviews, code reviews, and brainstorming sessions.
 </li>
 <li>
 Maintain accurate and updated software development documentation.
 
 
 </li>
 </ul>
 
 Degree Requirements
 
 
 
 Bachelor of Science or Engineering degree or a foreign equivalent in Robotics, Machine Learning, Computer Science, Electrical Engineering, Electronics and Telecommunication Engineering, or a related field.
 
 
 
 Experience Requirement
 
 
 
 One (1) year of work experience in the job offered or as a Deep Learning Engineer, Perception Engineer II, MLOps, Research Engineer II, Machine Learning, Computer Vision Intern, or another related deep learning engineer role.
 
 
 
 Other Special Requirements
 
 
 
 <ul>
 <li>
 One (1) year of work experience with all of the following:
 </li>
 <ul>
 <li>
 Deploying real-world applied computer vision (including deep learning models) on edge devices
 </li>
 <li>
 Python programming and software design
 </li>
 <li>
 C++
 </li>
 <li>
 Software development tools and libraries including PyTorch, OpenCV, TensorFlow, MLflow
 </li>
 <li>
 Automated data annotation
 </li>
 <li>
 Distributed training in the cloud
 </li>
 <li>
 Deploying and managing GPU clusters for ML pipelines and workflows
 
 </li>
 </ul>
 </ul>
 
 Rate of Pay:
 
 $135,699.00 to $190,000.00 per year
 
 
 
 Location of Position and Interview:
 
 
 
 Hayden AI Technologies, Inc.
 
 
 460 Bryant Street, Suite 100
 
 
 San Francisco, CA 94107
 
 
 
 Applicants Should Submit Resumes To
 
 
 
 Janet Le-Mcintosh
 
 
 janet.le@hayden.ai
 
 
 Hayden AI Technologies, Inc.
 
 
 460 Bryant Street, Suite 100
 
 
 San Francisco, CA 94107
</div>

Machine Learning Operations Engineer

Uber

<div>About the Role
 
 
As a Staff Mobile Engineer on the Autonomous Mobility &amp; Delivery (AM&amp;D) team, you will define and drive the technical strategy behind Uber's next-generation rider, eater, and merchant experiences in an autonomous world. Our mission is to enable safe, informative, and magical customer experiences without human driver interaction, while scaling AV commercialization globally.
 
 
This is an organization-level technical leadership role. You will operate across iOS and Android surfaces, shaping mobile architecture, influencing multi-team execution, and ensuring that our mobile platforms can support evolving autonomous and marketplace dynamics. You will partner deeply with backend, marketplace, AV integration, product, design, operations, and external partners to deliver cohesive, end-to-end experiences.
 
 
Beyond shipping features, you will anticipate long-term architectural needs, identify systemic gaps, and design durable solutions that increase developer velocity, reduce technical debt, and improve reliability across teams. You will lead complex, multi-quarter initiatives from inception through production, ensuring strong execution discipline and operational excellence.
 
 
This role is ideal for a mobile technical leader who thrives in high-ambiguity, zero-to-one environments and wants to shape both product direction and engineering standards at scale.
 
 
What You Will Do
 
<ul><li>Define and drive the long-term mobile technical strategy across iOS and Android for Autonomous Mobility &amp; Delivery experiences
</li><li>Lead large, cross-team initiatives from ideation through design, implementation, launch, and operational ownership
</li><li>Architect scalable, modular, and maintainable mobile systems that support evolving autonomous and marketplace use cases
</li><li>Anticipate future product and architectural needs, proactively addressing scalability, performance, and reliability challenges
</li><li>Establish and promote mobile engineering best practices across architecture, testing, release processes, observability, and incident management
</li><li>Partner closely with product, design, backend, marketplace, and operations teams to deliver cohesive, end-to-end customer experiences
</li><li>Drive metrics-based execution, ensuring features are instrumented, measurable, and aligned with core business KPIs
</li><li>Improve engineering velocity and quality by reducing technical debt and strengthening development workflows
</li><li>Mentor senior engineers, elevate technical decision-making across teams, and raise the hiring bar through high-quality interviewing and feedback
</li></ul>- Basic Qualifications -
 
<ul><li>5+ years of professional software engineering experience
</li><li>5+ years of hands-on mobile development experience in iOS and/or Android
</li><li>Proven track record leading cross-team, multi-quarter technical initiatives from concept through production
</li><li>Demonstrated experience defining and evolving mobile architecture in large-scale, consumer-facing applications
</li><li>Strong expertise in modern mobile architecture patterns, modularization strategies, state management, and performance optimization
</li><li>Experience driving metrics-based product development with strong reliability and quality guardrails
</li><li>Experience improving engineering standards across teams, including code quality, testing strategy, release processes, and operational excellence
</li><li>Strong cross-functional collaboration skills, with experience partnering with product, design, backend, and operations stakeholders
</li></ul>- Preferred Qualifications -
 
<ul><li>Experience building and scaling large consumer mobile platforms in transportation, mobility, logistics, or other real-time systems
</li><li>Experience leading cross-platform architectural alignment across iOS and Android teams
</li><li>Deep experience with experimentation frameworks, funnel optimization, and data-informed product iteration
</li><li>Experience modernizing legacy mobile codebases while maintaining high product velocity
</li><li>Experience designing mobile systems that integrate tightly with complex backend and marketplace platforms
</li><li>Background working in fast-changing, zero-to-one product environments
</li><li>Experience mentoring senior engineers and developing future technical leaders
</li>Experience contributing to executive-level technical strategy discussions and org-wide engineering planning 
<li>
</li></ul> 
 
For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Staff Software Engineer - iOS

Klaviyo

<div><div>At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.</div>
Klaviyo is looking for a Senior Security Engineer to add to our growing Detection and Response (D&amp;R) Team. This is a hands-on technical role that involves building and maintaining secure, reliable, and scalable detection and response systems to enhance our security observability capabilities. This role will also be responsible for participating in full end-to-end detection development and response lifecycle and support with threat response operations. As a Senior Security Engineer, you will have the opportunity to leverage your security and engineering skills to provide thought leadership, solve complex security challenges and ultimately improve Klaviyo's overall security posture.

How you will make a difference:
<ul>
<li>Build systems that facilitate security observability for detection and response</li>
<li>Develop AI-first security systems to automate detection and response operations</li>
<li>Onboard, normalize and optimize security logging data for large-scale data analysis, detection engineering, deployment of ML models, and efficient querying during incidents.</li>
<li>Develop high-fidelity rule-based and/or ML-based detections as code</li>
<li>Respond to security alerts, cyber threats, and security incidents</li>
<li>Drive end-to-end incident response investigations
</li><li>Automate and codify detection and response workflows and processes</li>
<li>Conduct ad-hoc threat hunts and be an active member of D&amp;R on-call rotations</li>
</ul>
We'd love to hear from you if you have:
<ul>
<li>5+ years of experience in software, security, and/or data engineering</li>
<li>Automation-first and AI-first approach for all work performed</li>
<li>Experience with centralized logging, data lakes, and SIEM solutions</li>
<li>Familiarity with large-scale data pipelines and data engineering techniques</li>
<li>Proficient in programming languages to automate / build (e.g., Python, Go or similar)</li>
<li>Proven experience with git/GitHub and CI/CD automations</li>
<li>Familiarity with tactics, techniques, and procedures used by threat actors</li>
<li>Experience being part of detection and response or incident response on-call</li>
<li>Strong passion for continuous learning and staying updated on evolving technology</li>
<li>Strong oral and written communication skills</li>
<li>Team player with a strong, self-managing work ethic</li></ul> 


We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here<div>
Get to Know Klaviyo

We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators&mdash;ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us.

AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.

By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. 

Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
<div>
<div><div><div><div><div><div><div><div><div><div><div>IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.</div>
<div></div>
<div>By clicking &quot;Submit Application&quot; you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).</div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>

Senior Security Engineer - Detection and Response

<div>About the Role
 
 
Earner Incentives is one of the fastest-growing products at Uber. As an Engineer on the Earner Incentives team you will work on the latest backend technologies developing highly scalable, Customer facing services and features, platforms and control panel tooling used by our operations on a daily basis.
 
 
Incentives Platform is used for generating efficient incentives for drivers, measuring progress of drivers towards achieving those incentives and then paying once incentive goals are achieved. It plays a critical role in ensuring adequate supply to meet the market demands across time and space. The combination of technical challenges and cross functional work will allow you to grow as a software engineer in any dimension.
 
 
Join us to work on some of the most exciting challenges on this journey.
 
 
What the Candidate Will Need / Bonus Points
- What the Candidate Will Do - 
 
 
<ul><li>As a backend engineer, you will architect, design and build software solutions to help with all aspects of capacity planning/management/engineering to scale Uber's infrastructure across a variety of sophisticated workflows and business processes.
</li><li>Design end-to-end features and systems to build high quality consumer-facing products.
</li><li>Write code, test, and maintain production services for high availability, reliability, and performance.
</li><li>Work with ML engineers and scientists to develop ML models to improve product performance.
</li><li>Work with Product Managers to understand product requirements and lead product rollout plans.
</li><li>Mentor junior team members.
</li><li>You will collaborate with other teammates to maintain the health of our systems and codebase, refactor and make improvements, and keep our systems robust and resilient.
</li></ul>- Basic Qualifications - 
 
 
<ul><li>2+ years experience working on the full software life cycle including gathering requirements, project planning, solution design, coding/implementation, testing, rollout/deployment and best practices as an individual contributor.
</li><li>Experience coding using general purpose programming language (eg. C/C++, Java, Python, Go, C#)
</li><li>Fast and passionate learner. Strong collaboration, documentation and communication skills.
</li></ul>- Preferred Qualifications - 
 
 
<ul><li>Experience building consumer-facing products.
</li><li>Experience designing and implementing large-scale service with excellent quality.
</li><li>Experience working with Machine Learning engineers and scientists on ML model productionization.
</li>Experience collaborating with other engineers and non-tech stakeholders, both to meet short-term goals and to create long-term partnerships. 
<li>
</li></ul> 
 
For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Software Engineer II - Earner Incentive

MERCOR

<div>A prestigious tech company is seeking a Software Engineer II to join their Safe Ads Experiences (SAE) team. This team is building the next-generation data collection platform SPECTRA, which will shape the future of how human-labeled data is collected and used in the company's systems. The role offers the opportunity to impact responsible advertising, user data privacy, and public trust through data-driven insights.
Responsibilities<ul><li>
Drive technical implementation and testing of complex data pipeline features within the SPECTRA platform, ensuring robust end-to-end functionality and meeting project release timelines
</li><li>Design and develop data processing pipelines using SQL and Python to handle large-scale data collection, transformation, and quality monitoring workflows
</li><li>Build and maintain dashboards and visualization tools to provide visibility into data quality, rater performance, and platform metrics for stakeholders across multiple teams
</li><li>Create comprehensive end-to-end tests and monitoring alerts to ensure platform reliability, data integrity, and proactive identification of issues in the data collection workflow
</li><li>Debug and troubleshoot complex data flow issues across the SPECTRA platform, identifying root causes and implementing solutions to maintain high system availability
</li><li>Collaborate closely with Technical Leads and engineering teams to implement backend data processing logic and ensure adherence to development standards and best practices
</li><li>Partner with Product Data Operations (PDO) teams to coordinate human labeling workflows, budget planning, vendor management, and rater performance optimization
</li><li>Work with Taxonomists and Data Labeling Analysts to ensure proper data classification, labeling guidelines implementation, and quality assurance processes
</li><li>Coordinate with vendor partners to support external data collection operations, ensuring seamless integration with SPECTRA's multi-review and quality monitoring systems
</li><li>Support smart sampling initiatives and targeted data collection strategies that have delivered significant cost savings and improved data quality across advertising systems
</li></ul>Qualifications<ul><li>
Experience in SQL development writing complex queries, data transformations, and working with large datasets in production environments
</li><li>Proficient in Python with experience in data processing, automation, and pipeline development using object-oriented programming principles
</li><li>Experience with data engineering pipelines including ETL processes, data modeling, and building scalable data processing workflows
</li><li>Hands-on experience with data visualization and dashboard tools such as Tableau or similar platforms for creating actionable insights from large datasets
</li><li>Strong analytical and problem-solving skills with demonstrated ability to debug complex data issues and implement effective solutions
</li><li>Experience with data quality monitoring and automated testing frameworks to ensure data accuracy, completeness, and reliability
</li></ul><div>Preferred Qualifications: 
<ul><li>Degree in Computer Science or related field</li><li>Machine Learning experience with understanding of ML model training data requirements, feature engineering, and model evaluation metrics</li><li>Experience building and scaling large products or systems</li><li>Experience with building privacy and ads-related products is a big plus</li><li>Experience working with human labeling and annotation systems including workflow design, quality assurance, and vendor management in data collection operations</li><li>Prior experience working with the company or its internal tools is a plus
</li></ul></div>Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. 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, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.
About Cincinnatus
Cincinnatus is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for full-time and long-term contingent roles. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives.
Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve full-time or fixed-term commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows.
Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus.
Equal Employment Opportunity
Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.
Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.</div>

Software Engineer II

Apple

Do you believe Machine Learning and AI can change the world? We truly believe it can! We are the ML Data Team of the Intelligent System Experience (ISE) group at Apple. We are responsible for building high quality datasets at scale. Every year, our team produces datasets used in the training of ML and AI-centric features for many Apple products, including iPhone, iPad, Mac, Apple Watch and even AirPods. Our work is used in very visible and critical features, from the wallpaper on your iPhone Lock Screen, to your personalized stickers on iMessage, to Apple Intelligence features such as on-device Genmoji and other visual generative models, to the models that highlight the faces and memories of your loved ones in your Photos app. 
 
We&rsquo;re looking for an exceptional software &amp; data engineer who is passionate about Apple products and values, who has a passion for data operations at scale, is comfortable in a fast paced environment and who is committed to the hard work necessary to continuously improve our ML data pipelines. 
 
We invite you to join us at this exciting time. Grow fast and positively impact multiple critical features from your first day at Apple! 
 
Description 
 
Our team focuses on acquiring, synthesizing, annotating, and ensuring the quality of ML data, driving numerous features in collaboration with R&amp;D teams in Apple&rsquo;s SWE organization.&quot;,&quot;responsibilities&quot;:&quot;Operate and maintain data pipelines to effectively process up to billion-scale multimodal data 
 
Find creative ways to automate workflows or build self service tools, implement a variety of data tools for visualization, compliance and ML enrichment 
 
Help bring frontier generative model and agentic capabilities in our pipelines to further optimize our data operations ; and production-ize synthetic data workflows including orchestration and lineage 
 
Identify opportunities for improvement of internal infrastructure offerings, and influence roadmaps of partner teams to build or improve key components we rely on 
 
Preferred Qualifications 
 
Proven experience designing, automating and scaling large data pipelines (petabyte scale desired) using state of the art processing technologies (eg familiarity with Iceberg, BigQuery, Airflow, Spark, etc.) 
 
Expertise in Python, Go or another modern programming language; you are expected to produce high quality, efficient code and participate in code reviews 
 
Strong ability to design and lead a technical roadmap, work with cross functional teams and a diversity of profiles, proven capacity to influence and build alignment 
 
Demonstrated prior experience in delivering large scale multimodal datasets for foundation models 
 
Self-starter, able to handle ambiguity, comfortable in a fast-pace environment, identify risks, mitigate, and autonomously find the right people and tools to get the job done 
 
Proven track record of mentoring and growing engineers, lift the level of software engineering excellence in a ML data ops team typically focused on short term deliveries 
 
Minimum Qualifications 
 
7+ years of industry experience as a data engineer serving various ML applications (vision domain preferred) 
 
Bachelor's degree in Computer Science or related field 
 
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.

Senior ML Data Engineer, ISE

Explore 220+ Operations engineer operations engineering in San Francisco this March. Find roles across top companies and apply now to boost your career.