Engineering Structures Jobs in Clifton Nj Remote

The Claims Examiner is responsible for the investigation, evaluation, and resolution of complex residential property claims arising under Homeowners Insurance policies. This role ensures that all claims are handled in accordance with policy provisions, applicable Insurance Regulation, and internal company guidelines. The examiner provides technical claim oversight, manages third-party administrators and legal counsel, and ensures accurate claim reserving and timely claim resolution while maintaining a high level of customer service and regulatorycompliance.

Responsibilities:

• Conduct thorough review and interpretation of homeowners insurance policies, endorsements, exclusions, and applicable deductibles to determine coverage eligibility
• Evaluate claims in accordance with policy language, applicable state statutes, and relevant legal precedent
• Analyze documentation including loss reports, inspection findings, repair estimates, photographs, engineering reports, and contractor invoices
• Determine cause of loss and validate damages for residential property claims such as fire, water damage, windstorm, theft, and liability-related losses
• Review and approve claim payments recommended by Third-Party Administrators (TPAs), independent adjusters, or internal claims staff
• Evaluate and authorize claim reserves based on claim exposure, severity, and potential litigation risk
• Provide technical direction and oversight to field adjusters, independent adjusters, and TPAs handling property inspections and claim investigations
• Review adjuster reports and estimates to confirm scope of damage and repair costs
• Ensure claim files contain complete documentation supporting reserve levels and claim outcomes for audit and regulatory review
• Ensure claims are managed in compliance with internal claim handling procedures and all applicable state insurance regulations
• Maintain accurate documentation and claim notes within the claims management system

Requirements:

• Bachelors degree preferred; but not required
• Expertise and knowledge of homeowners property coverage, including policy interpretation and claim investigation
• Experience handling property claims within the property and casualty insurance industry
• Ability to manage multiple complex claims while meeting regulatory and organizational deadlines
• Highly proficient with MS Office (Excel, Word, PowerPoint)
• Must be analytical, detail-oriented, and ability to make data-driven decisions

Doctor of Medicine | Radiology - General/Other

Location: New Jersey

Employer:

Pay: Competitive weekly pay (inquire for details)

Start Date: ASAP

LocumJobsOnline is working with to find a qualified Radiology MD in New Jersey!

This Job at a Glance

• Job Reference Id:  ORD-201843-MD-NJ
• Title:  MD
• Dates Needed:  March – ongoing
• Shift Type:  Day Shift
• Assignment Type:  Inpatient
• Call Required:  No
• Board Certification Required:  Yes
• Job Duration:  Locums

Two medical centers are seeking a Women's Imaging specialist for locum tenens coverage. The facilities provide comprehensive mammography services with modern equipment and dedicated imaging departments. The centers maintain high standards for women's health screening and diagnostic services.

New Jersey offers diverse attractions including the Adventure Aquarium in Camden, which features rare blue penguins and playful hippos, as well as boardwalk entertainment options. The area provides access to notable landmarks such as the Statue of Liberty and Ellis Island through guided tours. Visitors can explore both indoor and outdoor activities, with seasonal events and displays available during spring months.

The clinician will read mammography screenings and diagnostic studies Monday through Friday from 8:00 a.m. to 5:00 p.m. The position requires board certification and focuses on interpreting 20 to 30 screening mammograms and 10 diagnostic studies daily. No procedures or call coverage are required for this locum tenens assignment. The role emphasizes diagnostic accuracy in women's imaging with a structured weekday schedule.

• Case Load/PPD:  20 to 30 screen and 10 diagnostics a day
• Patient Population:  Adults
• Location Type:  On-Site
• Government:  No
• Procedures:  None
• Equipment/PACS System:  Standard mammography equipment
• Modalities:  Mammography screenings and diagnostics
• Type of Dictation Used:  Standard dictation system

Our services are 100% free for clinicians and are designed for a seamless experience with every assignment:

• Precision job matching with proprietary algorithm
• Rapid credentialing with Axuall Digital Wallet
• Concierge support with a dedicated clinician deployment specialist
• Digital hub for assignment details

About

The need has never been greater to connect great clinicians and great healthcare facilities. That’s what we do. Every day. We’re . We connect clients and clinicians to take care of patients. How do we do it? By doing it better than everyone else. Whether you’re looking for a locum tenens job or locum tenens coverage, our experienced agents have the specialized knowledge, know-how, and personal relationships to take care of you and your search.  

provides comprehensive onboarding and optional 1099 financial consulting from a partner advisor.

We cover your malpractice insurance (A++) and provide assistance with credentialing, privileging, licensing, housing and travel.

Our agents have the specialized knowledge and personal connections to provide the best locum tenens experience and negotiate top pay on your behalf.

1663061EXPPLAT

Being good neighbors – helping people, investing in our communities, and making the world a better place – is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a #1 team and do some good!

Join our team as a Property Field Inspection Claim Specialist and showcase your expertise in handling accident and weather-related claims for homeowners, commercial properties, and large losses.    

We are looking for an experienced and highly skilled professional to contribute to our dynamic team. You will be the first point of contact to meet with our insureds, explain coverage, estimate damages, and help them through the claims process while providing Remarkable service.    

Key Responsibilities:

• Conduct on-site inspections and assessments of property damages for both residential and commercial claims
• Collaborate with policyholders, insurance agents, and other involved parties to gather information and resolve claims efficiently 
• May occasionally require interacting with parties who express strong emotions or concerns about ongoing inspections or claim resolutions 
• Provide exceptional customer service throughout the claims process, addressing inquiries and concerns promptly and professionally
• Gather necessary evidence, document findings, and prepare detailed reports to support the claims handling process
• Investigate and adjust both personal and commercial property claims with exposures up to $500,000
• Evaluate coverage and policy terms to determine the validity of claims and ensure compliance with local regulations
• Negotiate and settle claims within the authorized limits, considering policy provisions, industry standards, and company guidelines

Where you'll work: This position is located in central and northern New Jersey. Competitive candidates should reside within one of the listed zip codes and will service this same territory:

18 33 42 52 63 67 78 83 95 12 12 74 2 8534 44 56 61 11 28 9 882 8824 35 48 63 99

This is a Remote-Field position in which you will work from home and utilize a mobile office/vehicle for in-person appointments. Although the primary work location is in the field, with a commutable distance from home, there will be opportunities for virtual work to be completed at home. Additionally, there may be occasions where you will be required to travel outside your assigned area to assist in other territories.  

Hours of operation are continually evaluated and may change based on business need. Successful candidates are able and willing to work flexible schedules and may be asked to work overtime and/or irregular hours.   

Competitive candidates must demonstrate:

• Experience as a Property Field Inspection Claim Specialist in the insurance industry, specifically in property claims
• Strong knowledge of property insurance policies, coverage and claim handling practices
• Knowledge of both residential and commercial building construction
• Familiarity with local regulations and compliance requirements in your assigned territory
• Excellent communication and interpersonal skills to effectively interact with clients, agents, and other stakeholders
• Proven effective communication skills to handle difficult/emotional conversations with a customer-minded focus
• Proven ability to assess damages, estimate repair costs, and negotiate settlements
• Detail-oriented with strong organizational and analytical skills
• Proficient in using claims management software and other relevant tools 
• Physical agility to allow for: frequent lifting, carrying and climbing a ladder; ability to navigate roofs at various heights for inspection of both residential and commercial structures; ability to crawl in tight spaces
• May be required to complete Rope and Harness Safety Training.
• A valid driver's license is required

Preferred:

• Bachelor's Degree in a related field or equivalent work experience
• Experience in handling complex or high-value claims
• Construction background
• Water mitigation inspection experience
• Xactimate, XactContents

Additional Details:

• Employees must successfully complete all required training, including applicable licensing exam(s), Motor Vehicle Record (MVR) checks, and background checks required of various state(s).
• State Farm recently implemented new pre-employment assessments. Candidates that have previously taken an assessment may be asked to participate in additional testing

Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week!

• Potential starting salary range: $73,824.56 - $112,5000.00
  • Starting salary will be based on skills, background, and experience
  • High end of the range limited to applicants with significant relevant experience
• Potential yearly incentive pay up to 15% of base salary

At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family!

• Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.
• Stay Well! Focus on you and your family’s health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!
• Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring.
• Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!
• Take a Little “You” Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!
• Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.
• Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.

Visit our State Farm Careers page for more information on our benefits, locations, and the hiring process of joining the State Farm team!

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