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engineering manager, mobile developer productivity, level 6 Jobs in Search Of A Part Time Sitter In Los Angeles Area For Two Boys Jobs In Los Angeles

machine learning engineer - remote Jobs in Search Of A Part Time Sitter In Los Angeles Area For Two Boys Jobs In Los Angeles

machine learning engineer - remote

robotics solutions engineer – robotics data collection & physical ai Jobs in Search Of A Part Time Sitter In Los Angeles Area For Two Boys Jobs In Los Angeles

machine learning engineer

Create Music Group

<div>Established in 2015, Create Music Group is a leading music and entertainment company. The company operates as a record label, distribution company, and entertainment network which generates over 15 billion music streams each month on DSP&rsquo;s. Named #2 on the Inc 5000 Fastest Growth Companies in America in 2020, the company has grown exponentially by leveraging its owned IP with its media and technology platform. The company works with superstar artists, major and independent record labels, and global media brands. It operates a number of companies including Label Engine, one of the largest independent music distribution platforms in the world, with over 75,000 artists and 5,000 label clients; and Flighthouse, a digital entertainment brand focused on Gen Z, which has more than 300 million followers across social media. Create Music Group is based in Hollywood, CA and has 400 employees worldwide. 
Job Summary
We are building CreateOS &mdash; a next-generation operating system for modern record labels &mdash; and AI is at the center of it. As a Machine Learning Engineer, you will be a core builder on the team responsible for designing, training, deploying, and maintaining the ML systems that power intelligent automation, forecasting, anomaly detection, and agentic workflows across the platform.
This is a hands-on engineering role for someone who is equally comfortable prototyping a new model and shipping it to production. You will work directly with the VP of AI &amp; ML Engineering and partner closely with Data Engineering, Analytics, and Product to move AI from experimentation into reliable, scalable production systems embedded in real user workflows.
Your immediate impact will be on three of CMG's highest-priority AI initiatives: M&amp;A catalog valuation forecasting, AI-driven A&amp;R discovery, and marketing automation agents &mdash; each directly tied to revenue growth and competitive differentiation. 
Responsibilities
Applied Machine Learning<ul><li>
Build and maintain ML models for forecasting, anomaly detection, classification, ranking, and optimization across music industry use cases (catalog valuation, royalty reasoning, A&amp;R intelligence, marketing performance, etc.)</li><li>
Partner with Analytics &amp; BI to identify, engineer, and validate features that drive meaningful predictive power</li><li>
Own the full ML lifecycle &mdash; from problem framing and data exploration through training, evaluation, deployment, and monitoring</li></ul>
MLOps &amp; Production Engineering<ul><li>
Deploy and monitor models in production using modern MLOps tooling</li><li>
Instrument models for performance tracking, drift detection, and continuous improvement</li><li>
Implement CI/CD, automated testing, model versioning, and observability for all ML systems</li><li>
Collaborate with Data Engineering to ensure data quality, feature delivery, and pipeline reliability</li></ul>
Agentic AI &amp; LLM Systems (Stretch)<ul><li>
Develop and maintain modular AI agents that automate multi-step workflows across CreateOS (contracts, accounting, distribution, metadata)</li><li>
Build and iterate on RAG pipelines, retrieval architectures, and semantic search systems grounded in structured business data</li><li>
Implement guardrails, evaluation frameworks, and safe action boundaries for agentic systems</li></ul>
Collaboration &amp; Communication<ul><li>
Translate business problems from non-technical stakeholders into well-scoped ML solutions</li><li>
Document model design decisions, evaluation results, and known limitations clearly</li><li>
Contribute to a culture of engineering rigor and responsible AI development</li><li>
Other duties as assigned</li></ul>
Qualifications<ul><li>
2+ years of software engineering experience in a production environment, with exposure to ML or data science work (academic, professional, or project-based); OR 2+ years of experience specifically as an ML Engineer or Applied Data Scientist</li><li>
Strong proficiency in Python and ML frameworks (PyTorch, scikit-learn, XGBoost, or similar)</li><li>
Hands-on experience building, deploying, and monitoring models in cloud environments &mdash; GCP strongly preferred (AWS or Azure acceptable); familiarity with services such as Vertex AI, BigQuery, Cloud Functions, and Cloud Run is a strong plus</li><li>
Solid understanding of modern ML techniques &mdash; supervised/unsupervised learning, time series forecasting, embeddings, ranking &mdash; and their mathematical foundations</li><li>
Experience with LLMs and prompt engineering, including building RAG systems or LLM-powered features</li><li>
Comfortable working with structured and unstructured data at scale</li><li>
Strong communication skills with the ability to explain complex model behavior to non-technical audiences</li></ul>
Preferred Qualifications<ul><li>
MS in Machine Learning, Data Science, Business Analytics, Computer Science, Statistics, or a related quantitative field &mdash; candidates using this role as their entry point into ML engineering are encouraged to apply; OR 2+ years of experience as an ML Engineer or Applied Data Scientist in lieu of an advanced degree</li><li>
Experience at a startup or high-growth technology company where you owned features end-to-end</li><li>
Familiarity with agentic frameworks (LangChain, LangGraph, AutoGen, or similar)</li><li>
Background in music, media, entertainment, or rights/royalties data</li><li>
Experience with ontology design, knowledge graphs, or semantic data modeling</li><li>
Contributions to open-source ML projects or published research</li><li>
Familiarity with AI evaluation practices &mdash; hallucination detection, bias auditing, model explainability</li></ul>
Pay Scale<ul><li>
$160,000 - $200,000 per year</li><li>
The final compensation within this range will be determined based on the candidate&rsquo;s experience, skills, and overall fit for the role.</li></ul> 
Fair Chance Policy
In accordance with the Los Angeles County Fair Chance Ordinance, we will consider employment for qualified applicants with criminal histories. We evaluate candidates based on their qualifications and the nature of the offense in relation to the job for which they are applying.</div>

Machine Learning Engineer

YO IT Consulting

<div>
 
 Engagement Type:
 
 Independent Contractor
 
 
 
 Work Mode:
 
 Fully Remote
 
 
 
 Contract Type:
 
 Project-Based (Short-Term, Extendable)
 
 
 
 Role Overview
 
 
 
 collaborating with a leading AI research lab to support the evaluation of advanced machine learning systems. We are seeking experienced machine learning engineers and researchers to contribute to the design of high-quality evaluation suites that measure AI performance on real-world machine learning engineering tasks. The work focuses on translating practical ML research and engineering workflows into structured benchmarks for frontier models. This is a project-based, remote opportunity suited for experts with hands-on ML research experience.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and write detailed evaluation suites for machine learning engineering tasks
 </li>
 <li>
 Assess AI-generated solutions across areas such as model training, debugging, optimization, and experimentation
 
 
 </li>
 </ul>
 
 Ideal Qualifications
 
 
 
 <ul>
 <li>
 3+ years of experience in machine learning engineering or applied ML research
 </li>
 <li>
 Hands-on experience with model development, experimentation, and evaluation
 </li>
 <li>
 Background in ML research (industry lab or academic setting strongly preferred)
 </li>
 <li>
 Strong ability to reason about ML system design choices and tradeoffs
 </li>
 <li>
 Clear written communication and high attention to technical detail
 
 
 </li>
 </ul>
 We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
 
 
 Contract and Payment Terms
 
 
 <ul>
 <li>
 You will be engaged as an independent contractor.
 </li>
 <li>
 This is a fully remote role that can be completed on your own schedule.
 </li>
 <li>
 Projects can be extended, shortened, or concluded early depending on needs and performance.
 </li>
 <li>
 Your work at will not involve access to confidential or proprietary information from any employer, client, or institution.
 </li>
 <li>
 Payments are weekly on Stripe or Wise based on services rendered.
 </li>
 </ul>
</div>

Machine Learning Engineer - Remote

Tiger Analytics

<div>Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
We are seeking a highly skilled and experienced Lead Data Scientist with strong expertise in Data Science modelling, within the CPG domain. The ideal candidate will have a proven track record of designing, developing, and deploying scalable forecasting solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions.
Responsibilities: 
<ul><li>
Work on the latest applications of data science to solve business problems</li><li>
Work directly with client stakeholders to translate business problems into high level analytics solution designs</li><li>
Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value</li><li>
Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably</li><li>
Responsible for managing analytics projects, collaborating with client stakeholders and Tiger&rsquo;s team situated globally
</li><li>Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights</li><li>
Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution</li></ul> 

Requirements 
<ul><li>
8 - 13 years of professional work experience with at least 5 years in Data Science</li><li>
Ability to engage with executive/VP-level stakeholders from client&rsquo;s team to translate business problems to high level analytics solution approach</li><li>
Solid understanding of statistical and machine learning algorithms</li><li>
Strong project management and team management skills and ability to work with global teams</li><li>
Strong SQL skills and hands-on experience with analytic tools like R &amp; Python
</li><li>Exposure to cloud platforms and big data systems such as Hadoop, HDFS, Hive is a plus</li><li>
Experience working with CPG Domain companies.</li><li>
Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes</li><li>
Bachelor's in Business Analytics or equivalent work experience.</li></ul> 

Benefits 
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.</div>

Lead Data Scientist(CPG)- Data Science

Freeform

<div><h2 class="jobSectionHeader">SENIOR SOFTWARE ENGINEER (EMBEDDED)</h2>

Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits.

As a Senior Embedded Software Engineer at Freeform, you will be responsible for architecting and implementing critical embedded software systems that enable our advanced metal 3D printing factories to operate fully autonomously at high speeds with precision. This entails developing elegant software solutions for hardware control, high speed data acquisition, and custom high performance compute systems. Your software will effectively act as the nervous system of our fully automated metal printing factories. As a crucial member of the engineering team you will be responsible for driving the pace of innovation, maximizing development speed, and maintaining a standard of excellence within the entire engineering team.

3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology!

Responsibilities:
<ul>
<li>Architect state-of-the-art software for an advanced production-scale metal 3D printing system</li>
<li>Design and develop the machine instruction interface to the metal 3D printing system hardware</li>
<li>Develop software to enable the computer vision system, monitor sensor data, perform calibrations, log quality data, and keep track of the health of the printing system over its lifetime</li>
<li>Work with process and control engineers to integrate control algorithms into production software</li>
<li>Work with FPGA developers to develop high-speed data acquisition software</li>
<li>Create software for collection and analysis of process data</li>
<li>Develop software required to implement production automation solutions</li>
<li>Develop, unit test, and deploy functional, scalable, robust, and maintainable software</li>
<li>Generate and maintain documentation of designed software and integrated systems</li>
</ul>
Basic Qualifications:
<ul>
<li>5+ years of experience in software development using C/C++ and/or Rust</li>
<li>Experience in real-time embedded system design with Linux OS</li>
<li>Experience in object-oriented programming and design</li>
</ul>
Nice to Have:
<ul>
<li>Bachelor's, Master's or PhD in computer science, applied mathematics, engineering, or related field</li>
<li>Experience working in a high performance compute environment (FPGAs or GPUs)</li>
<li>Experience with PCIe driver development and troubleshooting</li>
<li>Experience with high speed data acquisition and real time closed-loop-control systems</li>
<li>Excellent knowledge of OS coding techniques, IP protocols, interfaces, and hardware subsystems</li>
<li>Experience writing software for industrial automation systems, robotics, or related hardware</li>
<li>Creative thinker able to apply first-principles reasoning to solve complex problems</li>
<li>Excellent verbal and written communication skills</li>
</ul>
Location:
<ul>
<li>Based in Hawthorne, our vertically integrated facility brings technology development, R&amp;D, and production together under one roof. We operate at the center of LA's deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country.
</li>
</ul>What We Offer:
<ul>
<li>We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions.</li>
<li>We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology.</li>
<li>Benefits
<ul><li>Significant stock option packages</li>
<li>100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)</li>
<li>Life insurance</li>
<li>Traditional and Roth 401(k)</li>
<li>Relocation assistance provided</li>
<li>Paid vacation, sick leave, and company holidays</li>
<li>Generous Paid Parental Leave and extended transition back to work for the birthing parent</li>
<li>Free daily catered lunch and dinner, and fully stocked kitchenette</li>
<li>Casual dress, flexible work hours, and regular catered team building events</li>
</ul></li><li>Compensation
<ul><li>As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company's current stage of development and allows the employee to grow and develop within a role.</li>
<li>In addition to the significant stock option package, the estimated salary range for this role is $140,000-$250,000, inclusive of all levels/seniority within this discipline.</li>
</ul></li><li>Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.</li></ul></div>

Senior Software Engineer (Embedded)

Innodata

<div>US Remote &ndash; Near SF Preferred (Travel as required, SFO, EWR, IGI)
Who we are:
Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are the AI technology solutions provider-of-choice to 4 out of 5 of the world&rsquo;s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.
By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we&rsquo;re helping usher in the promise of clean and optimized digital data to all industries. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.
Our global workforce includes over 3,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We&rsquo;re poised for a period of explosive growth over the next few years.
Position Summary:
The next frontier for AI is the physical world, and Innodata is building the data factory that powers Physical AI for frontier robotics and humanoid systems. As a Robotics Solutions Engineer, you will be a trusted technical partner to some of the world&rsquo;s most innovative robotics and model‑building teams, combining hands‑on robotics/data engineering with a customer‑facing, pre‑sales to post-sales mindset. You will design and showcase data capture solutions, lead technical pilots, samples, and demos, and help customers turn real‑world robotics problems into concrete datasets, pipelines, and evaluation strategies that unlock real model and business impact. This is a high‑visibility role that directly influences strategic deals and long‑term partnerships.
Responsibilities:<ul><li>
Collaborate with Innodata Client Partners to scope and deliver technical pilots and POCs, earning the &ldquo;technical win&rdquo; with new and existing robotics customers.</li><li>
Work closely with Engineering and Product to design and implement robotics data capture solutions (real‑world, lab, and simulation), including sensors/rigs, teleop/UMI flows, and egocentric capture pipelines.</li><li>
Collaborate directly with customers&rsquo; robotics and ML teams to understand their architectures (VLMs, VLAs, ACTs, world models, policies), define data and evaluation requirements, design execution plans, and translate them into actionable Statements of Work.</li><li>
Design and run customized demos, playbooks, and experimental workflows that showcase robotics data capabilities and shorten the time from idea to production pilot.</li><li>
Act as the technical owner of the customer experience: unblock integrations, debug data/workflow issues, and advise on best practices for data quality, coverage, and evaluation.</li><li>
Collaborate closely with Robotics Project Leads to ensure clean handoff from pre‑sales design to delivery, align on scope and success metrics, and support smooth execution of data collection programs.</li><li>
Bring structured, frontline feedback from customers back into Innodata&rsquo;s product and roadmap discussions, helping shape a scalable Robotics &amp; Physical AI data practice and platform.</li><li>
Represent Innodata at key industry events, conferences, and workshops, and contribute as a thought leader through talks, blog posts, and open artifacts that share learnings from our robotics data work.</li></ul> 
<ul><li>
Strong engineering background in Robotics, Mechatronics, Computer Science, or a related field.</li><li>
3+ years of experience developing with Python and one or more additional languages commonly used in robotics/ML (e.g., C++, Java), plus comfort working in Linux‑based environments.</li><li>
Hands‑on experience with robotics or Physical AI systems (e.g., perception/control stacks, teleoperation, simulation, or robotics data pipelines).</li><li>
Desire to conduct ongoing research and be a thought leader in world models and robotics models.</li><li>
Excellent presentation and communication skills, with the technical credibility to work with both senior executives and front‑line engineers.</li><li>
Proven ability to manage complex technical projects, juggle multiple customer engagements, and operate with a strong sense of ownership and attention to detail.</li><li>
High comfort working cross‑functionally with Sales, Product, Engineering, and Operations in a fast‑moving environment, including some customer travel as needed.</li></ul>
Bonus points if you have:<ul><li>
Prior experience in sales engineering, solutions engineering, or technical partnerships for data/AI/robotics products.</li><li>
Experience selling or supporting complex technical solutions with enterprise customers.</li><li>
Familiarity with large‑scale dataset design, evaluation frameworks, or robotics data marketplaces.</li></ul> 
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission&rsquo;s guide at https://consumer.ftc.gov/articles/job-scams.
If you believe you&rsquo;ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.
#LI-NS1</div>

Robotics Solutions Engineer – Robotics Data Collection & Physical AI

Carney, Sandoe & Associates

<div>
 
 
 Carney, Sandoe &amp; Associates,
 
 an education recruitment firm, is currently seeking a
 
 Fashion Design Teacher
 
 for for the
 
 2026-2027 school year
 
 at a
 
 Jewish independent
 
 school in
 
 Los Angeles, CA.
 
 
 
 
 
 
 
 
 About CS&amp;A:
 
 
 
 
 Our free job placement service connects educators with independent and private schools that align with their specific needs and qualifications. By getting to know each candidate personally, we match them with the right opportunities&mdash;saving time and ensuring the best match. Our mission is to help educators find roles where they can truly thrive. We have positions nationwide and internationally.
 
 
 
 
 
 
 
 
 
 
 Essential Duties:
 
 
 
 <ul>
 <li>
 Teach five courses for middle and upper school students on fashion and design arts.
 </li>
 <li>
 Collaborate with grade-level teams to align art curriculum with school-wide learning objectives.
 </li>
 <li>
 Design and implement curriculum and lesson plans that build the knowledge and skills necessary to effectively teach students at the assigned grade level.
 </li>
 <li>
 Use a variety of different materials to diversify student experiences in art making
 </li>
 <li>
 Evaluate each student&rsquo;s progress in their knowledge and skills.
 </li>
 <li>
 Communicate with parents to discuss the individual student&rsquo;s progress.
 </li>
 <li>
 Develop and enrich professional skills and knowledge by attending seminars, conferences, and professional development sessions.
 </li>
 </ul>
 
 
 
 
 
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Fashion Design or related required. Master's degree preferred.
 </li>
 <li>
 Minimum of 3 years of teaching experience at the K-12 preferred.
 </li>
 <li>
 Proficiency in Fashion Design including draping, flat pattern making, hand and machine sewing, fitting, and basic fashion sketching required.
 </li>
 <li>
 Experience with Adobe Creative Suite and other digital art platforms preferred.
 </li>
 <li>
 Knowledge of varied teaching strategies to differentiate learning.
 </li>
 <li>
 Eager to work collaboratively with other teachers.
 </li>
 <li>
 Excellent verbal and written communication skills.
 </li>
 <li>
 U.S. Work Authorization required.
 </li>
 </ul>
 
 
 
 
 
 Additional Desired Qualities:
 
 
 <ul>
 <li>
 Willingness to work with middle or high school students.
 </li>
 <li>
 Desire to be involved in school-wide initiatives and extracurricular activities.
 </li>
 <li>
 Previous experience teaching other art styles preferred.
 </li>
 </ul>
 
 
 
 
 
 
 Potential Benefits:
 
 
 Compensation and benefit packages are competitive but will differ by school and will typically depend on geographic location, your experience, and your level of degree.
 
 
 
 
 
 💵 Competitive pay
 
 
 🧠 Professional Development Opportunities
 
 
 ✏️ Classroom Resources
 
 
 🏥 Medical, dental and vision insurance
 
 
 😃 401(k) plan &ndash; Employer match
 
 
 ⛱️ Paid holidays, vacation and personal time
 
 
 🏠 Housing (boarding schools only)
 
 
 
 
 
 
 Carney Sandoe does not discriminate on the basis of physical handicap, sex, race, creed, color, sexual orientation, gender identity, or national or ethnic origin in administration of its services, consulting, events, professional development, or other programs.
 
 
</div>

Fashion Design Teacher

AECOM

<div>Company Description 
Work with Us. Change the World.
At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world&rsquo;s most complex challenges and build legacies for future generations.
There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.
We're one global team driven by our common purpose to deliver a better world. Join us. 
Job Description 
AECOM is seeking a Senior Electrical Engineer, Data Center specializing in Hyper-scale Data Centers to act as Data Center Electrical Engineer Lead. The job incumbent will be responsible for designing, implementing, and maintaining electrical systems in large-scale data centers. This position is a remote opportunity and can be based out of any of AECOM's U.S. offices.
The Electrical Engineer will play a critical role in ensuring the reliability, efficiency, and safety of our data center infrastructure. The ideal candidate will have a strong background in electrical engineering and experience working with high-density data centers.
This position offers the flexibility of a remote work schedule and can be based from a variety of locations in the US were AECOM has an office.
AECOM is a leader in the global data center consulting industry with robust teams in the Americas, Europe, Africa, Asia, and Australia. In this role, you will have the opportunity to work with our teams around the world on high-profile, fast-paced data center projects for global clients. This is a hands-on, client-facing role with an opportunity for upward career mobility.
Responsibilities:<ul><li>
Design and implement electrical systems for hyper-scale data centers, including medium and low-voltage power distribution, backup power systems, and emergency systems</li><li>
Develop and maintain electrical schematics, bills of materials, and installation drawings</li><li>
Ensure compliance with industry standards, codes, and regulations, including National Electric Code (NEC) and International Electrotechnical Commission (IEC) standards</li><li>
Collaborate with other engineers and stakeholders to develop specifications, design criteria, and project budgets</li><li>
Analyze electrical systems to identify and resolve issues, including load balancing, capacity planning, and power consumption optimization</li><li>
Monitor and maintain the electrical systems, including performing preventative maintenance, testing, and repairs</li><li>
Develop and implement electrical safety procedures and training programs for technicians and other staff</li><li>
Stay up-to-date with advancements in electrical engineering and data center technologies, and recommend new technologies to improve the reliability and efficiency of our data center infrastructure</li><li>
Is accountable for project success in the electrical discipline.</li><li>
Provides specialized technical input to supporting staff, acting as a mentor and leader for mid-level engineers</li><li>
Approves and signs off on work, acting as Engineer of Record</li><li>
Provides estimates for the engineering budget and schedule a to meet requirements on large, complex projects</li><li>
Leads technical client relationships and plays a major role in selling</li></ul> 

Qualifications 
Minimum Requirements:<ul><li>
Bachelor&rsquo;s degree in Electrical Engineering plus eight (8) years of relevant experience in electrical design and/or electrical engineering, with a focus on data center infrastructure, or demonstrated equivalency of experience and/or education</li><li>
Professional Engineer License (P.E.) or Professional Engineer Designation (P. Eng) is required</li></ul>
Preferred Requirements:<ul><li>
Bachelor&rsquo;s degree in Electrical Engineering plus ten (10) years of relevant experience in electrical design and/or electrical engineering, with a focus on data center infrastructure, or demonstrated equivalency of experience and/or education</li><li>
Extensive experience in electrical engineering for data centers or other critical facilities.</li><li>
Strong knowledge of NEC (NFPA70)</li><li>
Strong leadership, communication, and interpersonal skills</li><li>
Ability to build and maintain strong relationships with clients</li><li>
Ability to think creatively and identify opportunities to enhance the client experience.</li><li>
Experience working with building information modeling (BIM) software, specifically ACC Cloud.</li><li>
Excellent leadership, communication, and interpersonal skills</li><li>
Experience with data center design and construction, including design criteria and industry standards</li></ul> 

Additional Information 
<ul><li>
Relocation is not available for this position</li><li>
Sponsorship is available for this position</li></ul><div></div>
About AECOM
AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&amp;D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.
AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients&rsquo; complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle &ndash; from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2025. Learn more at aecom.com.
What makes AECOM a great place to work
You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you&rsquo;ll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you&rsquo;ve always envisioned. Here, you&rsquo;ll find a welcoming workplace built on respect, collaboration and community&mdash;where you have the freedom to grow in a world of opportunity.
As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines.</div>

Senior Electrical Engineer, Data Centers - Remote (U.S.)

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