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Manager In Usa Jobs in Oregon (NOW HIRING)

Sonic Healthcare USA

Histology Supervisor

Salem, OR · On-site

At Sonic Healthcare USA, we emphasize teamwork and innovation. Check out our job openings and ... Assists the Manager in developing, implementing, revising, interpreting, and enforcing the

Sonic Healthcare USA

Histology Supervisor

Salem, OR · On-site

At Sonic Healthcare USA, we emphasize teamwork and innovation. Check out our job openings and ... Assists the Manager in developing, implementing, revising, interpreting, and enforcing the

Cresta

OR

$160K - $180K/yr

As the Partner AI Enablement Manager, GTM , you'll be responsible for building a world-class AI ... We are actively hiring for this role in USA, and offer competitive local pay and benefits. Your ...

McDonald's

Shift Manager

Bend, OR · On-site

$15.75 - $20/hr

... in a restaurant owned and operated by an independent franchisee and not McDonald's USA. This ... Managers lead shifts every week, making sure customers get a fast, accurate, friendly experience ...

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Manager In Usa information

What are the 4 types of managers?

The four main types of managers are top-level managers who set strategic goals, middle managers who oversee departments, first-line managers who supervise daily operations, and functional managers responsible for specific areas like finance or marketing. Each type requires different skills and levels of decision-making authority within an organization.

What jobs pay 200,000 a year in the USA?

In the USA, managerial roles such as senior executives, including CEOs, CFOs, and COOs, often earn $200,000 or more annually. Other high-paying jobs include specialized roles like anesthesiologists, surgeons, and certain IT directors, especially with extensive experience, advanced certifications, and leadership responsibilities.

What jobs pay $10,000 a month without a degree?

Manager roles in certain industries, such as sales, real estate, or entrepreneurship, can pay $10,000 or more monthly without requiring a degree, especially with experience and strong skills. High-paying freelance or consulting positions in fields like digital marketing, IT, or finance may also reach this income level, often relying on expertise, certifications, and a robust client base.

How much do managers make in the USA?

Managers in the USA typically earn a median annual salary of around $70,000 to $120,000, depending on the industry, experience, and location. Higher salaries are common in sectors like finance, technology, and healthcare, and managerial roles often require leadership skills and relevant certifications.
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Manager In Usa jobs near you

Staff Applied Machine Learning Engineer (Remote - Anywhere in USA)

Legion Intelligence

OR • Remote

Other

Posted 12 days ago

Job description

Staff Applied Machine Learning Engineer (Remote - Anywhere in USA)

***US Citizenship or Greencard is required due to US Government contract requirements***

About us:

Let's be real, AI isn't magic; Legion was built to move beyond AI hype-delivering secure, reliable systems that work alongside the people tackling the world's most critical challenges.

Born from a Department of Defense partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems, unlocking data, accelerating human workflows, and strengthening mission-critical systems. We don't replace workflows-we optimize them, ensuring quality, efficiency, and reliability inside the platforms our partners already use.

With world-class collaborators like Palantir, Nvidia, HPE, and Oracle, we're building intelligent infrastructure that enhances human capability and drives impact at the edge and across a range of enterprises.

We're looking for bold thinkers and doers to join us in shaping the future of AI that's secure, grounded, and built to work.

Job Summary:

In this role, you will leverage your expertise in AI/ML engineering to design, develop, and deploy innovative machine learning and algorithmic solutions. 

If you are adept at building models that solve hard problems, we encourage you to apply. You will collaborate closely with platform engineers and product partners, bringing a strong product orientation to your ML work.

Responsibilities:

  • Lead the development of machine learning models and data-driven algorithms for high impact projects
  • Lead the design and development of complex systems involving knowledge graphs and advanced entity detection
  • Collaborate with product and platform teams to own ML solutions end-to-end
  • Understand the runtime complexity of algorithms and the cost to run ML models at a production scale
  • Clearly communicate modeling decisions, tradeoffs, and limitations to technical and non-technical stakeholders
  • Build, deliver, and maintain enterprise products, ensuring they meet high-quality standards while shipping fast
  • Take ownership of your work, from design to implementation and maintenance, and drive projects to successful completion
  • Support production systems, handling debugging challenges in distributed systems to ensure reliability and uptime
  • Adapt quickly, bringing in latest developments in AI and machine learning, and proactively apply this knowledge to drive innovation within the company

Required Skills and Qualifications:

  • US Citizenship or Greencard is required due to US Government contract requirements
  • Bachelor's or Master's degree in Computer Science, Machine Learning, NLP. PhD is preferred.
  • 10+ years of experience in ML engineering with a proven track record of building models for large-scale systems
  • Experience building and supporting knowledge graph and semantic representation systems
  • Proven experience designing, building, evaluating, and optimizing Agentic AI systems, including reasoning loops, tool use, orchestration patterns, context management
  • Strong communication skills and the ability to collaborate effectively with cross-functional teams
  • Comfortable supporting production systems and debugging challenges in distributed systems
  • Demonstrated effectiveness in using AI tooling to accelerate research and development workflows
  • Growth mindset and low ego- you're eager to pick up new tools and technologies, learn from others, and being open to changing course when it's right
  • Drive to foster a culture of collaboration, psychological safety, and technical excellence
  • Strong advocate for inclusion in technical discussions at all levels

Preferred Qualifications:

  • Start-up experience or comfort in 01 product environments.
  • Familiarity with Kubernetes is a plus.
  • Experience integrating machine learning models and data driven algorithms into larger system architectures.

Equal Opportunity Statement

Legion provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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