director project management (infrastructure) Jobs in New York

director project management (infrastructure)

infrastructure engineer

Elliot Partnership

<div><div><ul><li><b>Senior Systems Engineer &ndash; Identity &amp; Linux Security
</b></li><li><b>New York (Hybrid)
</b></li><li><b>Highly competitive compensation package<br>
</b></li></ul><br>
<p>Are you a builder with deep expertise in Linux internals and Identity architecture? An elite technology-driven firm is seeking a Senior Systems Engineer to take ownership of its critical authentication platforms. This is not a standard maintenance role; it is an opportunity to architect the bridge between complex legacy infrastructure and modern identity security in a high-performance computing environment.<br>
</p><br>
<p><b>Responsibilities:<br>
</b></p><br>
<p><b>Identity Architecture Modernization </b>&ndash; Redesign and modernize the firm&rsquo;s internal PKI and authentication services, bridging the gap between Kerberos/Active Directory and modern OIDC/OAuth standards.<br>
</p><br>
<p><b>Linux Security Engineering &ndash; </b>Secure the global Linux fleet by designing solutions for insider risk monitoring, privileged access (PAM), and process-level identity.<br>
</p><br>
<p><b>Deep-dive Troubleshooting &ndash; </b>Go beyond standard admin tasks to debug complex OS, kernel, and filesystem issues using advanced diagnostic tools (strace, perf, eBPF).<br>
</p><br>
<p><b>Tooling &amp; Automation &ndash; </b>Design and build proprietary security tooling and automation frameworks from scratch using Python.<br>
</p><br>
<br>
<p><b>What you&rsquo;ll need:<br>
</b></p><br>
<ul><li><p>10+ years of security focused systems engineering experience.
</p></li><li><p>You possess the rare combination of deep Linux expertise AND architectural knowledge of Identity protocols (Kerberos, PKI, OIDC).
</p></li><li><p>Linux internals - you understand the OS at a deep level (Kernel, Systemd, Filesystems) and know how to harden it.
</p></li><li><p>You don't just use vendor tools; you write code (Python) to solve unique scalability and security challenges.
</p></li><li><p>You can effectively communicate complex architectural trade-offs to both software engineers and senior leadership.<br>
</p></li></ul><br>
<br>
<p><b>Why join them?<br>
</b></p><br>
<ul><li><p>Solve the hardest problems by working on the complex intersection of legacy scale and modern security.
</p></li><li><p>Join a team that values first-principles thinking and academic rigor.
</p></li><li><p>Take direct architectural ownership of the systems that secure the firm's core assets.
</p></li><li><p>If you&rsquo;re a visionary engineer who loves rabbit holes and building foundational systems, we&rsquo;d love to hear from you!</p></li></ul></div></div>

Senior Infrastructure Engineer (Linux & Identity)

<div>Overview:
<div>
NV5, now a wholly-owned subsidiary of Acuren Corporation (NYSE: TIC), is a provider of professional and technical engineering and consulting solutions to public and private sector clients in the infrastructure, energy, construction, program management and environmental markets. NV5 is a nationally recognized ENR Top 500 firm providing a comprehensive suite of professional engineering and consulting services.</div><div></div><div><br>
NV5 is a provider of engineering and consulting services to public and private sector clients, delivering solutions through six business verticals: Testing, Inspection &amp; Consulting; Infrastructure; Utility Services; Environmental Health Sciences; Buildings &amp; Program Management; and Geospatial Technology. With offices nationwide and abroad, NV5 helps clients plan, design, build, test, certify, and operate projects that improve the communities where we live and work.</div><div></div><div><br>
As engineers, architects, construction/program managers, environmental professionals and beyond, we play a significant role in shaping our communities through the services we provide. We are looking for passionate, driven individuals to join our team focused on <i>Delivering Solutions and Improving Lives</i>.</div><div></div><div><br>
We are seeking Assistant Civil Engineers who will work with our Utility Engineering group on New York City infrastructure design and construction projects at our office in Lower Manhattan. NV5&rsquo;s New York City Office operates on a four-day work week and we work on a wide variety of public and private infrastructure projects.</div>
Responsibilities:
<div><b>
We are seeking Assistant Civil Engineers who will work with our Utility Engineering group on New York City infrastructure design and construction projects at our office in Lower Manhattan. NV5&rsquo;s New York City Office operates on a four-day work week and we work on a wide variety of public and private infrastructure projects.</b></div><div></div><div><br>
The <b>Assistant Civil Engineer </b>will engage in research, investigation, and design tasks related to roadway, infrastructure design, and construction projects for our <b>Private Utility Clients</b>. This may include:</div><ul><li>
Catch basin and watermain design and alignment.</li><li>
Record research and site investigation for utility clients and city agencies</li><li>
Maintenance and Protection of Traffic Construction Staging.</li><li>
Studies, development of technical drawings, preparation of estimates of quantities and writing specifications.</li><li>
Field work for data gathering, test pit inspection, surveys and construction observations</li><li>
Coordination with various City Agencies</li></ul>
Qualifications:
<ul><li>A Baccalaureate degree in civil engineering from an accredited college.</li><li>
0-3 years of experience</li><li>
Knowledge of CAD (AutoCAD especially)</li><li>
Knowledge of Civil3D, (a plus)</li><li>
Knowledge of Microstation, (a plus)</li><li>
Detailed oriented, excellent writing skills</li></ul><div><b>
Certifications/Licenses:</b></div><ul><li>
EIT Preferred</li></ul><div>
#LI-JC2</div><div><br>
</div><div>NV5 offers a competitive compensation and benefits package including medical, dental, life insurance, PTO, 401(k) and professional development/advancement opportunities.</div><div></div><div><br>
The pay range for this position in New York is $63,000.00 to $65,000.00; however, base pay offered may be higher or lower depending on job-related knowledge, skills, and experience of the candidate. Restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the New York Equal Pay Act. Base pay information is based on market location.</div><div></div><div><i><br>
NV5 provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, creed, citizenship status, ancestry, pregnancy, childbirth or related medical conditions, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. NV5 complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.</i></div><div></div><div><b><i><br>
Recruitment &amp; Staffing Agencies</i></b><i>: NV5 Inc does not accept unsolicited resumes from any source other than passive &amp; active candidates and employee referrals. The submission of unsolicited resumes by recruitment or staffing agencies to NV5 or its employees is strictly prohibited unless contacted directly by NV5's internal Talent Acquisition team seeking 3rd party sourcing assistance. Any resume submitted by an agency in the absence of a signed agreement and given permission to represent NV5 to candidates on a particular search, NV5 will not owe any referral or other fees with respect to the unsolicited submission.</i></div></div><p></p>

Assistant Civil Engineer - Utility

APLOMB Technologies

<p><b>Job Description</b></p><p>Design develop and implement scalable cloud infrastructure solutions using Google Cloud Platform GCP Build tools Collaborate with cross functional teams to optimize data pipelines and deployment workflows Ensure high availability security and performance of cloud based data services Leverage GCP Build capabilities to automate build and deployment processes Monitor and troubleshoot cloud infrastructure to maintain operational excellence Stay updated with the latest trends and best practices in GCP and DevOps methodologies</p><p><b>Roles and Responsibilities</b></p><p>Lead the endtoend build and deployment of data solutions on GCP Develop and maintain CICD pipelines using GCP Build and related tools Work closely with data engineers and developers to integrate build processes Implement infrastructure as code IaC for repeatable and reliable deployments Collaborate with security teams to enforce compliance and governance policies Provide technical guidance and mentorship to junior team members Participate in code reviews design discussions and sprint planning sessions</p><p>Job Type: Contract</p><p>Pay: $40.00 - $50.00 per hour</p><p>Work Location: In person</p>

GCP Data Engineer

AMIGO

<div><h1 class="jobSectionHeader"><b>About Amigo</b></h1><p>
Amigo builds AI agents for healthcare&mdash;systems that handle patient conversations, take clinical actions, and escalate to humans when needed.</p><p>
Our agents operate autonomously within bounded clinical domains. Clear inclusions, exclusions, and handoff protocols. The scope of autonomous operation expands over time as we validate performance across patient populations.</p><p>
We own the data foundation end-to-end: patient interactions, agent reasoning traces, outcome data, and synthetic data with known fidelity. This enables population-level analytics and continuous improvement.</p><p>
Series A from leading investors. Clinical validation and evidence generation in partnership with leading academic medical institutions.</p><p></p><h1 class="jobSectionHeader"><b>
About this role</b></h1><p>
As a Senior Software Engineer (Data) at Amigo, you'll build the data infrastructure that powers agent improvement, clinical analytics, and research collaboration. You'll own streaming and batch pipelines on Databricks that process agent conversations, clinical events, and patient outcomes at scale.</p><p>
Our data platform is a strategic differentiator. We own the entire data foundation&mdash;from raw interaction data to agent reasoning traces to clinical outcomes. You'll build pipelines that enable population analysis, data mining, and the Research Platform backend.</p><p></p><h1 class="jobSectionHeader"><b>
What you'll do</b></h1><ul><li><p>
Build and maintain streaming and batch pipelines on Databricks (Delta Lake, Spark)</p></li><li><p>
Design CDC pipelines that sync operational databases to Delta Lake for analytics</p></li><li><p>
Implement data mining pipelines for persona discovery, scenario extraction, and edge case detection</p></li><li><p>
Build the data backend for Research Platform, including natural language to SQL capabilities</p></li><li><p>
Create data quality monitoring, staleness detection, and automated alerting</p></li><li><p>
Build pipelines for voice and SMS analytics (call quality, engagement metrics)</p></li><li><p>
Support multi-region data deployment and compliance requirements</p></li><li><p>
Collaborate with agent engineers and data scientists to surface insights that improve agent performance</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
What we're looking for</b></h1><ul><li><p>
4+ years of production data engineering experience</p></li><li><p>
Strong experience with Databricks, Spark, and Delta Lake</p></li><li><p>
Proficiency in Python and SQL for pipeline development</p></li><li><p>
Experience building streaming pipelines and CDC (change data capture) systems</p></li><li><p>
Understanding of data modeling, medallion architecture (bronze/silver/gold), and query optimization</p></li><li><p>
Experience with data quality frameworks and monitoring</p></li><li><p>
Track record of building reliable, production-grade data infrastructure</p></li><li><p>
Both execution-oriented and defensive-minded: you ship pipelines while anticipating failure modes</p></li><li><p>
Strong debugging skills for distributed data systems</p></li><li><p>
Clear communication with data scientists, backend engineers, and product teams</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Nice to have</b></h1><ul><li><p>
Experience with healthcare data or HIPAA compliance requirements</p></li><li><p>
Background with ML pipelines (feature engineering, model training infrastructure)</p></li><li><p>
Experience building natural language query interfaces or LLM-powered data tools</p></li><li><p>
Familiarity with vector search and embedding pipelines</p></li><li><p>
Experience with Delta Sharing or data collaboration protocols</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Benefits</b></h1><p></p><h2 class="jobSectionHeader"><b>
Health &amp; Wellness</b></h2><ul><li><p>
Comprehensive health, dental, and vision insurance</p></li><li><p>
Mental health support and wellness coaching</p></li><li><p>
Flexible wellness stipend for fitness, therapy, or personal growth</p></li><li><p>
Daily catered lunch and dinner</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Growth &amp; Development</b></h2><ul><li><p>
Annual learning budget for courses, books, or conferences</p></li><li><p>
Conference attendance budget for professional development</p></li><li><p>
Development setup of your choice</p></li><li><p>
Academic collaboration opportunities</p></li></ul><p>
Compensation Range: $180K - $220K</p></div>

Senior Software Engineer (Data)

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
We are looking for a Software Development Engineer to help build and scale the infrastructure powering our agentic autonomous campaigns. In this role, you will design and implement core components of the agent execution engine, evaluation pipelines, and model tuning infrastructure that enable agents to reason, plan, and act across complex advertiser workflows. You will work closely with senior engineers and applied scientists to translate research prototypes into robust, high-performance production systems. You will need to dive deep into new technologies&mdash;such as LLM deployment frameworks, reinforcement learning infrastructure, and multi-step reasoning orchestration&mdash;and quickly apply them to solve real customer problems. You will own well-defined but often ambiguous technical problems, ensuring your solutions are scalable, reliable, and directly contribute to advertiser-facing products. This role is highly impactful: your contributions will form the backbone of the systems that deliver personalized, context-aware guidance to millions of advertisers. You will collaborate across science, product, and platform teams, and your work will focus on building resilient, observable, and maintainable systems that accelerate innovation in agent-based AI.<br>
<br>
Key job responsibilities<br>
<ul><li>Implement core services and APIs for agent orchestration, tool invocation, and state management.</li><li>Build scalable, reusable data and tool registry</li><li>Build components of evaluation pipelines (offline/online) for measuring reasoning quality, advertiser outcomes, and safety guardrails.</li><li>Develop infrastructure to support fine-tuning and reinforcement learning pipelines, collaborating with scientists to productionize workflows.</li><li>Ensure performance, scalability, observability, and maintainability through strong engineering practices.</li><li>Participate in system design, code reviews, and team architecture discussions.</li><li>Continuously learn and apply new techniques in agentic frameworks, distributed systems, and cloud-native development.</li></ul><br>
About the team<br>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights.<br>
We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.<br>
The Autonomous Campaigns team within Sponsored Products and Brands is focused on guiding and supporting 1.6MM advertisers to meet their advertising needs of creating and managing ad campaigns. At this scale, the complexity of diverse advertiser goals, campaign types, and market dynamics creates both a massive technical challenge and a transformative opportunity: even small improvements in guidance systems can have outsized impact on advertiser success and Amazon&rsquo;s retail ecosystem.<br>
Our vision is to build a highly personalized, context-aware campaign creation and management system that leverages LLMs together with tools such as auction simulations, ML models, and optimization algorithms. This agentic framework, will operate across both chat and non-chat experiences in the ad console, scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser. To execute this vision, we collaborate closely with stakeholders across Ad Console, Sales, and Marketing to identify opportunities&mdash;from high-level product guidance down to granular keyword recommendations&mdash;and deliver them through a tailored, personalized experience. Our work is grounded in state-of-the-art agent architectures, tool integration, reasoning frameworks, and model customization approaches (including tuning, MCP, and preference optimization), ensuring our systems are both scalable and adaptive.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li><li>Experience with AI/ML technologies</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/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.</div>

Software Development Engineer II, Sponsored Products Autonomous Campaigns

Google

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Sunnyvale, CA, USA; New York, NY, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li>2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.<br>
</li>
<li>1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.<br>
</li>
<li>1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree or PhD in Computer Science or related technical fields.<br>
</li>
<li>2 years of experience with data structures or algorithms.</li>
<li>Experience developing accessible technologies.<br>
</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.</p>
<p>
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud&rsquo;s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.<br>
<br>
</p><p>The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</p><p>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Write product or system development code.<br>
</li>
<li>Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)<br>
</li>
<li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.<br>
</li>
<li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.<br>
</li>
<li>Implement solutions in one or more specialized ML areas, utilize Machine Learning (ML) infrastructure, and contribute to model optimization and data processing.<br>
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer III, AI/ML, Google Cloud AI

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.</li>
<li>8 years of experience in software development.</li>
<li>5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.</li>
<li>5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.</li>
<li>5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Experience in machine learning, statistics (stats), applied mathematics, or operations research in the industry or in the academic sector.</li>
<li>Experience with Ads, AdsML, LegoML, Keras, or TFX.</li>
<li>Experience productionizing ML systems.</li>
<li>Experience in Experiment Design.</li>
<li>Ability to write high quality and low latency code/models that can train on and serve on every query.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
<p>
We build and maintain machine learning models using Artificial Intelligence (AI) and Machine Learning (ML) techniques to predict user interactions on Search Ads. These models are a key component in setting advertisers' bids, with the goal of improving both satisfaction and Return on Investment (ROI) for Search Ads advertisers using Auto-bidding products. By optimizing towards advertisers' objectives, Auto-bidding products drive Google's global Ads business, which serves billions of users and generates in business.</p>
Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We&rsquo;re made up of multiple teams, building Google&rsquo;s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
<br>
<br>
The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.<br>
<br>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Innovate and iterate on machine learning model design, improving quality, stability, and efficiency across the entire model life-cycle from concept to deployment.</li>
<li>Solve machine learning related problems by designing, running, and analyzing experiments using investigative and statistical methods.</li>
<li>Contribute to code health, automation, and alerting systems to ensure model stability and performance.</li>
<li>Participate in on-call rotations for model health, working alongside team members to support critical systems.</li>
<li>Learn the bidding machine learning models that drive billions in ad business across Google Ads.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Staff ML Engineer

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