Engineering Structures Jobs in Schaumburg Il Remote

Our client, a commercial electrical contractor, is seeking a BIM/VDC Manager/Coordinator. In this role, you will be responsible for designing, developing, and testing electrical systems that meet project specifications. The ideal candidate will possess a strong foundation in construction principles, complemented by expertise with software such as AutoCAD, MEP, and Revit. This position offers an opportunity to work with a collaborative team in a company with outstanding benefits.

Duties

• Design and develop electrical systems, schematics, and PCB layouts using AutoCAD, Revit, software to meet project requirements.
• Conduct root cause analysis on electrical failures or system malfunctions to identify issues and develop corrective actions.
• Collaborate with architects, structural, and MEP trades to identify and resolve spatial conflicts using clash detection tools.
• Develop project schedules ensuring timely delivery of milestones while managing resource allocation effectively.
• Create detailed schematics and documentation for manufacturing using NEC standards and industry best practices.
• Apply knowledge of electrical codes such as NEC to ensure compliance during design and installation phases.
• Participate in coordination meetings to review progress and resolve design and construction issues.

Qualifications

• Strong proficiency in CAD tools including AutoCAD, Revit, SolidWorks, MicroStation, and schematic capture software.
• Experience in the commercial construction industry.
• Strong understanding of electrical systems and construction documentation.
• Ability to interpret drawings, specifications and construction documents.
• Excellent problem-solving skills complemented by effective communication abilities across diverse teams.
• Strong organizational skills with experience managing project scheduling in fast-paced environments. Join our team as an Electrical Engineer to contribute your expertise toward shaping future projects.

About the Opportunity:

Strategic Management Solutions is seeking a results-driven Property Manager to lead operations at Hanover Park Blu apartments, a multifamily community in Hanover Park, IL. This is a high-potential property with a solid resident base, but the right leader is needed to help clean up office processes, improve organization, and drive performance. If you're experienced, detail-oriented, and ready to bring structure and consistency to a team, we want to hear from you.

Key Responsibilities:

• Oversee day-to-day operations including leasing, collections, resident relations, and maintenance coordination
• Identify and improve inefficient office processes and staff performance gaps
• Provide hands-on leadership to the on-site team and ensure adherence to company policies
• Monitor property performance, occupancy, and collections, and report regularly to regional leadership
• Ensure full compliance with Fair Housing and local landlord-tenant laws
• Manage property budgets, vendor contracts, and capital projects
• Use Yardi to track operations, manage resident files, and process financials

Requirements:

• Minimum 3 years of experience as a Property Manager for a multifamily community
• Proficiency in Yardi Voyager is required
• Strong organizational and leadership skills
• Proven ability to improve operational efficiency and team performance
• Knowledge of Fair Housing laws and property management best practices
• Excellent communication and problem-solving skills
• Spanish speaking highly preferred

What We Offer:

• Supportive and engaged corporate and regional leadership team
• Competitive salary and performance-based bonuses
• Health benefits, PTO, and professional development opportunities
• A chance to make a real impact at a property with strong potential

About the Company

We are a dynamic and growing U.S. subsidiary of a leading Italian multinational manufacturing company. With a strong global presence and a commitment to innovation and excellence, we are seeking a Finance Manager to lead our financial operations in the U.S. and ensure alignment with the parent company’s financial strategy, reporting standards, and compliance requirements.

Position Summary

The Finance Manager will oversee all financial activities of the U.S. subsidiary, including budgeting, forecasting, financial reporting, compliance, and internal controls. This role requires strong collaboration with the Italian parent company to ensure accurate and timely consolidation of financial data, adherence to the U.S. GAAP, and alignment with global financial policies and international regulatory requirements.

Key Responsibilities

• Lead the monthly, quarterly, and annual financial close process.
• Prepare and analyze financial statements in accordance with U.S. GAAP
• Coordinate with the Italian parent company on group reporting, intercompany transactions, and transfer pricing.
• Develop and manage budgets, forecasts, and financial planning processes.
• Ensure compliance with local, state, federal, and international tax regulations, including reporting requirements and filings across multiple jurisdictions.
• Manage cash flow, banking relationships, and treasury functions.
• Implement and maintain internal controls, policies, and financial procedures.
• Liaise with external auditors, CPA firms, and other professional advisors to ensure compliance and support audits.
• Provide financial insights and recommendations to support strategic decision-making.
• Supervise and develop a small finance team.

Qualifications

• Bachelor’s degree in accounting, finance, or related field.
• 10+ years of progressive experience in finance or accounting, preferably in a multinational environment.
• Knowledge of U.S. GAAP, income tax and sales tax
• Excellent analytical, organizational, and communication skills.
• Ability to work cross-functionally and across cultures, especially with European counterparts.
• Proficiency in Italian is a plus but not required.

What We Offer

We offer a competitive and comprehensive benefits package, including:

• Competitive salary, with potential for annual performance-based bonus
• Comprehensive health insurance, including medical, dental, and vision coverage for employees and their dependents
• 401(k) retirement plan with company match, available after one year of employment with the Company
• Generous paid time off (PTO) and Paid Company Holidays
• Company-paid life and disability insurance
• Hybrid work options, depending on business needs
• Support for professional development, including training and continuing education opportunities
• Opportunity to work in a global environment with exposure to international finance
• Inclusive and collaborative workplace culture

Qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. #inauto

Job Title : Nuclear Engineer (Naval Reactors Engineer) Category / Component : Officer • Active Overview Design, regulate, and oversee the Navy's nuclear propulsion program, including reactor design, fleet operations, and eventual defueling and decommissioning of nuclear powered ships and submarines from Naval Reactors Headquarters and associated Department of Energy laboratories and shipyards.

Key Responsibilities Provide technical direction in areas such as reactor and fluid systems design, reactor physics, materials development, component design for steam generators, pumps, and valves, instrumentation and control for reactor and propulsion plants, testing and quality control, radiation shielding, and chemistry and radiological controls; review designs and analyses from laboratories, shipyards, and industry partners; coordinate with fleet units to ensure safe and reliable nuclear plant operation.

What to Expect Assume significant technical responsibility early in your career as part of a lean headquarters staff; work primarily in an analytical and oversight role rather than operating plants at sea; balance long term engineering projects with time sensitive fleet and shipyard issues; frequent coordination with senior civilian engineers, naval officers, and technical teams; high expectations for attention to detail, judgment, and written and oral communication.

Work Environment Work mainly at Naval Reactors Headquarters in the Washington, District of Columbia area with regular engagement with Department of Energy laboratories, nuclear training sites, shipyards, and nuclear powered ships and submarines; office based work that includes document reviews, technical meetings, inspections, and site visits rather than day to day shipboard watchstanding.

Pathways, Training & Advancement Officer commissioning through programs such as Officer Candidate School or the Nuclear Propulsion Officer Candidate program followed by a structured technical qualification program at Naval Reactors; rotational exposure to laboratories, prototypes, shipyards, and fleet support issues; progressive responsibility leading projects and becoming a subject matter expert, with opportunities for professional military education and advanced graduate study in technical fields.

Entry through the Nuclear Propulsion Officer Candidate program for qualified college students and recent graduates, or selection via Officer Candidate School for those who already hold qualifying degrees; all applicants must meet Nuclear Propulsion Program academic and technical screening standards in addition to general officer commissioning requirements.

Qualifications All Navy jobs require meeting general enlistment or commissioning standards, which typically include: Eligibility to serve in the United States Navy, which may involve United States citizenship or other legal residency and work status, depending on the program and current law and policy A high school diploma or equivalent for enlisted positions, and a bachelor's or qualifying professional degree for officer positions Meeting age limits that vary by program and are set in law and Navy policy.

Some communities have more restrictive age ranges Meeting medical, vision, and dental standards, including body composition and physical fitness requirements, with some jobs requiring more demanding standards Meeting character and conduct standards, including background screening Achieving required test scores for your program, such as the Armed Services Vocational Aptitude Battery for enlisted roles or officer qualification tests for officer programs Eligibility for a security clearance when required for your rating or designator Additional qualifications can include specific skills, education, licensure, or experience that are unique to a job or community and will be reviewed with you by a recruiter.

Additional qualifications for this job may include: Completion of a rigorous technical degree in engineering, physics, mathematics, or a closely related field that includes strong backgrounds in calculus and physics; outstanding academic record, particularly in technical coursework; United States citizenship and eligibility for a high level security clearance; strong technical aptitude and comfort with detailed analytical work.

Education Education benefits are available through standard Navy programs such as Tuition Assistance, the Post-9/11 GI Bill, ACE-recommended college credit for Navy training, Navy COOL-funded certifications, USMAP apprenticeships, and other Navy College Program opportunities.

Specific options depend on the Sailor's status, training, and current Navy policy.

Pay, Benefits & Service Pay, benefits, and service commitments follow standard Navy Active and/or Reserve policies for this type of role, including basic pay, allowances when eligible, health coverage, and retirement options.

Exact entitlements, special pays, and service obligations depend on program, component, years of service, and current law and Navy guidance.

Incentives Incentives such as bonuses, special pays, and loan repayment may be available at times for specific ratings or communities, but they change frequently and cannot be guaranteed.

Applicants must confirm current incentives and eligibility with an official Navy recruiter or authoritative Navy source.

Notes and Disclaimers This description is a general overview of typical duties, training, and opportunities in this community.

It does not replace official Navy instructions, policies, or contracts and does not guarantee specific assignments, training, incentives, or outcomes.

Actual opportunities depend on Navy needs, individual performance, screening results, and current law and policy.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Readily Available Interim Customer Support Lead | VC-Backed B2B Healthtech SaaS | Boston (Hybrid)

The Client

This client is an AI-powered healthtech startup born out of a multi-year collaboration between leading academic medical centers and top-tier engineering institutions in Europe. This business has developed patented algorithms and a proprietary clinical database to help practitioners improve ultrasound screening accuracy, reduce diagnostic errors, and optimize care pathways for expectant mothers. With a clear mission to expand access to high-quality women's and children's health outcomes through technology, they are now scaling rapidly across the United States; partnering with major clinical networks and onboarding new health system clients at an accelerating pace.

The Role

This is an opportunity to own and build a support function at a company experiencing hypergrowth in the US market. Reporting to the Director of Operations, this role is for someone who sees a blank slate as an opportunity. The customer base is scaling rapidly and this position will be responsible for building the support function that grows with it. The right candidate will be hands-on, close to the product and customers before building out the systems, tooling, and team capable of sustaining growth without compromising the experience

Responsibilities

• Handle tickets and calls directly to build deep product knowledge and earn customer trust
• Design and implement the core support ticket infrastructure: SLAs, escalation paths, and cross-functional workflows with Engineering and Product
• Optimize the CRM/ticketing environment (automations, reporting, routing) and build out a self-serve knowledge base including FAQs and troubleshooting guides
• Serve as the voice of the customer, translating support patterns and user feedback into actionable product insights
• Define and track key operational KPIs and build automations to drive ongoing efficiency
• Champion team autonomy and maintain quality standards throughout a period of significant scale

What We Need to See (Essential)

• 3-5 years of B2B SaaS experience in Technical Support, Customer Support, or Operations
• Experience in implementing modern support/ticketing platforms (e.g. Zendesk, Pylon or similar)
• Proficiency in maintaining & utilizing ticketing CRMs
• Demonstrated ability to thrive in hypergrowth environments and build processes from zero
• Comfort working across time zones (specifically West Coast)
• Genuine alignment with the company's mission in women's and children's health

What We’d Like to See (Bonus)

• Experience in a healthcare or regulated SaaS environment
• Familiarity with building or scaling a support function at a Series A-C stage company
• Experience with CRM automation and reporting

Location: Hybrid

Package: $60-80 per hour

Duration: 4 months

Our client, a fast growing publicly traded manufacturing company is looking for a Senior Accountant to join. This role will have meaningful responsibility across financial reporting, operational accounting, and process optimization within a multi-entity, global environment.

The ideal candidate is detail-oriented, technically strong in U.S. GAAP, and comfortable operating in a matrixed organization with cross-border collaboration.

Core Responsibilities

Financial Close & Reporting

• Manage critical components of the monthly and quarterly close cycle
• Prepare journal entries, account reconciliations, and analytical reviews
• Perform detailed variance and trend analysis to support reporting accuracy
• Ensure results align with U.S. GAAP and corporate reporting policies

Compliance & Audit Coordination

• Support both internal and external audit activities
• Prepare audit documentation, schedules, and regulatory support files
• Maintain compliance with global accounting standards, including U.S. GAAP and applicable local requirements

Cross-Functional Partnership

• Partner with Operations, Engineering, Product, Tax, Legal, and other internal stakeholders to ensure proper accounting treatment of business activities
• Assist in evaluating complex transactions and operational impacts on financial reporting

Process Optimization & Controls

• Identify opportunities to enhance efficiency across end-to-end accounting workflows
• Contribute to initiatives aimed at improving internal controls and accelerating close timelines
• Collaborate with shared services teams, including offshore support functions, to refine processes and strengthen accountability

Special Projects & Systems

• Provide support for ERP enhancements, system upgrades, and finance transformation initiatives
• Assist in financial modeling, business case analysis, and other ad hoc strategic projects
• Contribute to continuous improvement efforts leveraging technology and automation tools

Qualifications & Experience

• Bachelor's degree in Accounting required; CPA or equivalent certification strongly preferred
• 4+ years of progressive accounting experience
• Background in manufacturing and/or publicly traded environments preferred
• Strong knowledge of U.S. GAAP and corporate reporting standards
• Experience supporting audits and working within structured control environments
• Familiarity with procure-to-pay processes
• Proficiency in Excel; experience with Oracle or comparable ERP systems preferred
• Experience working with shared services or offshore accounting teams preferred
• Ability to manage multiple deadlines in a dynamic, global environment
• Strong analytical mindset with attention to detail and ownership mentality
• Willingness to travel up to 10% (domestic and international)

Job Title: Director of Analytics & Insights (Amazon Agency)

Location: Milwaukee, WI

Alternate location: Or home based anywhere in the US

Industry: Ecommerce (Amazon Agency)

Channel: Mostly Amazon and

Direct Reports: Team of 5-6 Analysts

Visa: No sponsorship possible. Must have valid work authorization

Job ID: ZR_9557_JOB

Remote work policy: Full remote

Job Seniority: Executive Level, Middle Management Level

Company size: Medium (50-1000 ppl)

Company Ownership: Privately Owned

Industry(ies): Ecommerce, Consumer Goods,

Function(s): eCommerce,

Region(s): Arizona, Atlanta, Boston, Chicago, Cincinnati, Las Vegas, Los Angeles Area, New Orleans, NORTH AMERICA, USA, Dallas, California, Fort Lauderdale / West Palm Beach, Houston, Colorado, Connecticut, San Francisco Area, Florida, Miami, Georgia, Illinois, Louisiana, Massachusetts, Michigan, Minnesota, Nevada, New Jersey, New York City area, North Carolina, Ohio, Pennsylvania, Texas, Utah, Washington DC, Maryland, Delaware, Washington

Company Description

Our client is a well-established ecommerce services organization that supports brands in building and scaling their presence across major online marketplaces (Amazon and mostly). With a long-standing track record in digital commerce, the firm provides strategic and operational support spanning retail, media, creative and performance enablement. Its environment is collaborative, entrepreneurial and data-driven, with a strong emphasis on translating complexity into clear business value.

Objective of the Role

Our client is seeking a Director of Analytics & Insights to lead the strategic development of its measurement and insights capability. This individual will define how performance is measured, interpreted and communicated across client engagements, with a particular focus on ecommerce, digital advertising effectiveness and broader brand growth.

The role is designed for a senior leader who can combine technical depth with business judgment. The successful candidate will establish a clear vision for analytics and reporting, strengthen the quality of insight generation across the organization, and help create scalable frameworks that enable client teams to translate data into action. This position will also play an important role in shaping how advanced tools, automation and artificial intelligence support a modern analytics function.

Ideal Profile

The ideal candidate will bring a strong background in ecommerce analytics, digital advertising measurement and commercial insight generation, ideally gained within a brand-led environment, an agency, or a similarly complex client-facing business. A deep understanding of marketplace ecosystems is essential, particularly in relation to Amazon advertising, Amazon Marketing Cloud, omnichannel measurement and upper-funnel media effectiveness.

This person should be equally credible in technical and executive settings: capable of engaging with analysts, data partners and technical teams while also presenting clear, actionable conclusions to senior leadership. The right profile will combine strategic thinking, intellectual curiosity, sound judgment and the ability to bring structure to an evolving function.

Responsibilities

• Define and advance the analytics and insights vision for the organization.
• Establish scalable measurement frameworks covering retail performance, advertising effectiveness, brand growth and operational health.
• Lead and develop the analytics team, strengthening capabilities, role clarity and professional growth.
• Create clear standards for reporting, dashboards and insight delivery across client accounts.
• Improve the quality of interpretation by ensuring data is translated into commercial recommendations and action plans.
• Serve as a subject matter expert on advanced ecommerce measurement, including Amazon Marketing Cloud and omnichannel analytics.
• Partner with internal technology and engineering teams to improve data infrastructure, automation and reporting efficiency.
• Evaluate the current operating model and clarify ownership between analytics, reporting and client-facing teams.
• Support the development of advanced analyses that go beyond standard dashboard reporting and provide deeper strategic value.
• Ensure analytical output remains relevant, accurate, decision-oriented and aligned with the evolving needs of clients and the business.

Requirements

• Significant experience in analytics and insights leadership, including team management.
• Strong expertise in digital advertising measurement and ecommerce performance analysis.
• Demonstrated knowledge of Amazon advertising tools, metrics and measurement methodologies, including Amazon Marketing Cloud.
• Familiarity with omnichannel measurement, customer journey analysis and upper-funnel media evaluation.
• Advanced capability in SQL and experience with business intelligence and visualization platforms such as Tableau, Looker or similar tools.
• Working knowledge of statistical or analytical tools such as Python, R or equivalent.
• Ability to design measurement frameworks that connect media investment to broader business outcomes.
• Strong communication skills, with the ability to simplify complex analysis for non-technical audiences.
• Experience operating in a fast-paced, evolving environment with multiple stakeholders.
• Bachelor's degree required; an advanced degree is advantageous.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA