ZipRecruiter

Log In

1

Lifetime Jobs (NOW HIRING)

Lifetime Assistance

Wheelchair Van Driver

Gates, NY · On-site

$18.42/hr

  • Medical

  • PTO

Lifetime Assistance - Wheelchair Van Driver Make an Impact. Create Joy. Shape the Future. At Lifetime Assistance, our mission is to foster independence, dignity, and respect for individuals with ...

Lifetime Brands

Virtual Consumer Service Representative

Medford, MA · On-site

$16.75 - $22.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Join the Lifetime Brands Customer Service team supporting innovative brands including Taylor USA, Rabbit Wine, Chef'n and PlanetBox. This is a full-time, fully remote opportunity. Position Summary As ...

Lifetime Brands

Hagerstown - Warehouse Worker

Hagerstown, MD · On-site

$16 - $20/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About Lifetime Brands Lifetime Brands is a leading global provider of kitchenware, tableware and other products used in the home. We offer brands you trust, value without compromise and an unwavering ...

Lifetime Assistance

Registered Nurse (RN)

Gates, NY · On-site

$74K - $82K/yr

  • Medical

  • PTO

Lifetime Assistance - Day Services Registered Nurse (RN) Make an Impact. Create Joy. Shape the Future. At Lifetime Assistance, our mission is to foster independence, dignity, and respect for ...

Lifetime Brands

e-Commerce Category Manager

Medford, MA · On-site

$60K - $70K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Position Overview Lifetime Brands is seeking a highly motivated e-Commerce Category Manager to formalize and execute a division specific digital strategy to improve ecommerce growth by managing ...

Lifetime Assistance

Dietitian

Gates, NY · On-site

$25.65 - $27.70/hr

  • PTO

Lifetime Assistance - Registered Dietitian Make an Impact. Create Joy. Shape the Future. At Lifetime Assistance , our mission is to foster independence, dignity, and respect for individuals with ...

Lifetime Brands

2nd Shift - Material Handler III

Rialto, CA · On-site

$16.75 - $20.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About Lifetime Brands Lifetime Brands is a leading global provider of kitchenware, tableware and other products used in the home. We offer brands you trust, value without compromise and an unwavering ...

Lifetime Brands

Associate Creative Designer

Garden City, NY

$60K - $70K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lifetime Brands is seeking a talented, self-motivated, experienced graphic designer to work on conception and production of packaging materials and advertising graphics. Duties and Responsibilities:

previous pagenext page

Showing results 21-40

All JobsLifetime Jobs

Lifetime information

See salary details

$31.5K

$116.9K

$176.5K

How much do lifetime jobs pay per year?

As of Aug 14, 2026, the average yearly pay for lifetime in the United States is $116,897.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $140,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a life coach, and why are they important?

To thrive as a Life Coach, you need a strong understanding of psychology, goal-setting strategies, and effective coaching methodologies, often supported by a relevant certification. Familiarity with coaching frameworks, assessment tools, and client management software is typically required. Exceptional listening, empathy, and motivational communication skills help build trust and foster client growth. These skills ensure coaches can guide clients toward personal and professional development in a supportive and structured manner.

What is the difference between Lifetime vs Personal Trainer?

AspectLifetimePersonal Trainer
CertificationsTypically requires certifications like CPR, AED, and industry-specific credentialsRequires certifications such as NASM, ACE, or ACSM
Work EnvironmentFitness centers, gyms, wellness programsOne-on-one or group training sessions, gyms, private studios
Industry UsageUsed broadly in fitness and health sectorsSpecific role within fitness industry
Search & ComparisonOften compared for career longevity and certification requirementsCompared for training methods and client interaction

Lifetime and Personal Trainer are both roles within the fitness industry, but they differ mainly in scope. Lifetime often refers to a long-term membership or service, while a Personal Trainer is a professional providing personalized fitness coaching. Understanding these differences helps individuals choose the right career or service based on certifications, work environment, and industry usage.

What does a typical day look like for an employee at Lifetime Fitness, and how do team members collaborate?

At Lifetime Fitness, employees often start their day by preparing their designated areas, whether that's the fitness floor, front desk, or group class studio. Team members collaborate closely to ensure a high-quality member experience, communicate regularly about class schedules, maintenance needs, and member feedback. Throughout the day, staff may assist members, lead classes, handle administrative tasks, and participate in team meetings. The environment is dynamic and fast-paced, with a strong emphasis on teamwork, customer service, and ongoing professional development.

What are Lifetime jobs?

Lifetime jobs refer to positions that offer long-term employment stability, often with the same company or organization throughout an individual's career. These roles typically provide job security, benefits, and opportunities for advancement over many years. In some cultures or industries, such as traditional Japanese companies, lifetime employment is a valued practice. However, the concept is less common in today's fast-changing job market, with many employers opting for more flexible or contract-based arrangements. Lifetime jobs are most often found in government, education, or large corporations with strong employee retention policies.
More about Lifetime jobs

What cities are hiring for Lifetime jobs?

Cities with the most Lifetime job openings:

What are the most commonly searched types of Lifetime jobs?

The most popular types of Lifetime jobs are:

What states have the most Lifetime jobs?

States with the most job openings for Lifetime jobs include:

Lifetime jobs near you
Infographic showing various Lifetime job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 14% Part Time, 1% Temporary, 10% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $116,897 per year, or $56.2 per hour.

Lead Machine Learning Engineer, Lifetime Value

Root Inc.

Remote

$164K - $205K/yr

Full-time

Re-posted 18 days ago

Job description

At Root, we're on a mission to improve the lives of our customers by offering better insurance solutions. We challenge ourselves to think differently in order to reimagine insurance to make it smarter, more equitable, and a better experience for all.
We strive to "unbreak" the archaic insurance industry by using data and technology in innovative new ways. We believe we must be steadfast in our commitments to research, experimentation, and disciplined data-driven decision making in order to build products our customers love.
The Opportunity
We believe that a disruptive insurance company must have a principled quantitative framework at its foundation. At Root, we are committed to the rigorous development and effective deployment of modern statistical machine learning methods to problems in the insurance industry.
Root is seeking a Lead Machine Learning Engineer I to help build the systems and workflows that power our customer lifetime value modeling ecosystem.
In this role, you will partner closely with data scientists, engineers, and business teams to build scalable machine learning systems that support high-impact decision-making across Marketing, Finance, Product, and Customer Experience. You will help accelerate the path from experimentation to production while improving the reliability and operational maturity of Root's ML ecosystem.
This role focuses on building the infrastructure, tooling, and operational patterns that allow machine learning systems to scale reliably in production. You will help shape the foundations that enable statistical models, simulations, and forecasts to drive measurable business impact across the organization.
The ideal candidate is a machine learning engineer who enjoys building high-leverage systems, improving how technical teams work, and enabling machine learning to operate reliably at scale.
Root is a "work where it works best" company, meaning we will support you working in whatever location works best for you across the U.S.
Salary Range: $164,000 - $205,000 (Eligible for Competitive Bonus & Equity Offering)
How You Will Make an Impact
  • Build and improve the systems that power customer lifetime value modeling, from development and deployment through monitoring and production support.
  • Partner with data scientists to productionize statistical models, simulations, and forecasting workflows that support decision-making across the business.
  • Accelerate the path from research to production through scalable infrastructure, reliable workflows, and reusable tooling.
  • Improve the ML development experience by building better operational patterns and advancing production-ready ML practices.
  • Develop tools and services that help stakeholders evaluate model performance, understand business impact, and trust model outputs in production.
  • Collaborate with technical and business partners to solve high-value problems and improve the reliability and scalability of ML systems.
  • Share best practices through mentorship, documentation, and clear communication around technical decisions, tradeoffs, and operational considerations.

What You Will Need to Succeed
  • BS in Statistics, Mathematics, Engineering, or a related quantitative field.
  • 5+ years of experience designing, building, deploying, and maintaining machine learning systems and ML model pipelines in partnership with data scientists.
  • Strong Python and software engineering fundamentals, with the ability to build maintainable ML systems and production-quality code.
  • Experience building and operating production ML systems, including deployment, monitoring, debugging, and workflow orchestration.
  • Ability to design reproducible systems with clear lineage, versioning, and operational visibility across complex ML workflows.
  • Comfort working in ML systems with interconnected components, simulation-driven logic, and embedded business rules.
  • Strong judgment around model evaluation, code quality, system reliability, and maintainable engineering tradeoffs.
  • Experience with cloud-based ML infrastructure and data platforms such as AWS, GCP, or Azure.
  • Experience with infrastructure as code, such as Terraform.
  • Clear communication skills and the ability to explain technical tradeoffs to both technical and non-technical audiences.

Nice to Have
  • MS or PhD in Statistics, Mathematics, Engineering, or a related quantitative field.
  • Familiarity with customer lifetime value forecasting, simulation workflows, or Forecast vs. Actual analysis.
  • Experience with insurance or regulated financial products.
  • Exposure to ML and data tooling, orchestrators, and platforms such as MLflow, Airflow, Dagster, Snowflake, Databricks, dbt, and Spark
  • Experience building shared ML infrastructure, developer tooling, or reusable systems that improve data science productivity.

As part of Root's interview process, we kindly ask that all candidates be on camera for virtual interviews. This helps us create a more personal and engaging experience for both you and our interviewers. Being on camera is a standard requirement for our process and part of how we assess fit and communication style, so we do require it to move forward with any applicant's candidacy. If you have any concerns, feel free to let us know once you are contacted. We're happy to talk it through.
Please see our Privacy Notice available HERE for more information on how we process your personal data.
Consistent with the Americans with Disabilities Act (ADA) and the Civil Rights Act of 1964, it is the policy of Root to provide reasonable accommodation when requested by a qualified applicant or candidate with a disability, unless such accommodation would cause an undue hardship for Root. The policy regarding requests for reasonable accommodation applies to all aspects of the hiring process. If reasonable accommodation is needed, please contact recruiting@joinroot.com.

Apply