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Ml Inference Jobs in Oregon (NOW HIRING)

AI Red Team Lead Engineer

Gresham, OR

$108K - $143K/yr

... on AI/ML systems, platforms, and integrations, in addition to traditional enterprise attack ... Training, evaluation, and inference pipelines * Data ingestion, labeling, and governance controls

OR · Hybrid

Experience defining and securing AI/ML architectures , including training pipelines, inference systems, and AI-integrated applications * Strong knowledge of data security and privacy controls in AI ...

... ML infrastructure * MLOps practices (CI/CD, monitoring, model versioning) * Knowledge of: * Signal processing or physics-based modeling * Graph-based reasoning or causal inference * Full software ...

OR · On-site

Strong foundation in statistical modeling and ML, with experience selecting appropriate approaches ... causal inference * Experience optimizing models for business ROI; exposure to reinforcement ...

Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision ... About You Minimum Qualifications * 7+ years of experience working in a data science or ML role at a ...

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

Create and refine predictive models (Bayesian inference, regression analysis, time-series ... Statistical & ML Expertise: Strong foundation in statistical modeling and machine learning ...

AI Red Teamer

OR · On-site +1

As an AI Red Teamer at HiddenLayer, you will play a pivotal role in the ML Threat Operations group ... Develop and execute adversarial attacks (e.g., evasion, poisoning, and inference attacks) to ...

Optimize inference performance through quantization, distillation, batching, and model serving improvements. * Deploy and maintain production-grade ML systems running on GPU infrastructure. * Improve ...

OR

$372K - $600K/yr

... ML, or AI with strong foundation in experimental design, causal inference, A/B testing, and uncertainty quantification Experience with modern AI Evals and observability frameworks (e.g., OpenAI ...

OR · On-site

$179K - $231K/yr

AI inference, real-time analytics, and ML pipelines * Value quantification, ROI modeling, and executive-level narratives Elevate Global Pre-Sales Excellence (Technical + Value) * Set the global bar ...

Evaluate AI/ML implementations for vulnerabilities including prompt injection, jailbreaking, model inversion, data poisoning, membership inference, and adversarial example attacks. * Define and ...

Evaluate AI/ML implementations for vulnerabilities including prompt injection, jailbreaking, model inversion, data poisoning, membership inference, and adversarial example attacks. * Define and ...

OR · On-site

The ideal candidate brings deep expertise in application security, AI/ML risk, and cloud-native ... and inference environments across AWS and Azure. * Builds and scales AI Security Testing & Red ...

Senior Data Architect

Odell, OR · On-site

$69 - $92.25/hr

AI Enablement & Advanced Analytics Architect data platforms that support ML lifecycle management, feature stores, model training, and inference. Enable data pipelines optimized for real-time, batch ...

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Showing results 1-20

Ml Inference information

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often involving advanced skills in deep learning, data modeling, and programming with tools like Python and TensorFlow. These positions usually require extensive experience, specialized knowledge, and may include leadership responsibilities or strategic decision-making.

What is ML inference?

ML inference refers to the process of using a trained machine learning model to make predictions or decisions based on new data. After a model has been trained on historical data, inference is the phase where that model is deployed and used in real-world applications, such as recognizing speech, detecting objects in images, or recommending products. The focus in ML inference is on speed, efficiency, and scalability to ensure quick predictions, often in real time. This process is critical for practical applications like mobile apps, web services, and embedded systems. Optimizing inference involves reducing latency, memory usage, and computational requirements.

What is the difference between Ml Inference vs Data Scientist?

AspectML InferenceData Scientist
Required CredentialsKnowledge of machine learning models, programming skillsDegree in data science, statistics, or related fields
Work EnvironmentDeploying models in production, real-time data processingData analysis, model development, research
Industry UsageAI product deployment, software companiesResearch institutions, tech firms, consulting

ML Inference focuses on deploying trained models to make predictions on new data, often in real-time. Data Scientists develop and analyze models, working primarily in research and development. While both roles require understanding of machine learning, ML Inference emphasizes deployment and operationalization, whereas Data Scientists focus on model creation and analysis.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in deploying large-scale models can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their specialized knowledge and impact on product development.

Which 3 jobs will survive AI?

Jobs involving Ml Inference, such as data scientists, machine learning engineers, and AI system architects, are likely to persist as they require specialized expertise in developing, deploying, and maintaining AI models. These roles demand critical thinking, domain knowledge, and skills in programming and data analysis that are less easily automated. Continuous learning and staying updated with AI tools and frameworks are essential for these professions to remain relevant.

What are some common challenges faced by ML Inference Engineers when deploying models to production?

ML Inference Engineers often encounter challenges such as optimizing model latency and throughput to meet production requirements, ensuring compatibility with diverse hardware environments, and managing model versioning and updates without disrupting service. Additionally, balancing resource utilization and inference accuracy while monitoring real-time performance metrics is crucial. Collaboration with data scientists, DevOps, and software engineers is typically essential to streamline deployment and maintain robust, scalable inference pipelines.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and optimize AI models and systems. While AI automation tools can assist with certain tasks, MLEs are essential for building, tuning, and maintaining complex models, making complete replacement unlikely in the near term. Their expertise in data handling, model deployment, and system integration remains critical in AI development environments.

What are the key skills and qualifications needed to thrive in ML Inference, and why are they important?

To thrive in ML Inference, you need a solid background in machine learning principles, programming (Python or C++), and experience with deploying models at scale, often supported by a degree in computer science or a related field. Familiarity with frameworks and tools such as TensorFlow, PyTorch, ONNX, and cloud platforms like AWS SageMaker or Google AI Platform is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with multidisciplinary teams and optimizing model performance. These skills ensure efficient, scalable, and reliable deployment of machine learning solutions in real-world applications.
What are popular job titles related to Ml Inference jobs in Oregon? For Ml Inference jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Ml Inference jobs? Cities in Oregon with the most Ml Inference job openings:
AI Red Team Lead Engineer

AI Red Team Lead Engineer

US Bank

Gresham, OR

$108K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago


U.S. Bank rating

8.2

Company rating: 8.2 out of 10

Based on 358 frontline employees who took The Breakroom Quiz

44th of 149 rated banks


Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.

Job Description

The AI Red Team Lead Engineer leads the execution and evolution of offensive security activities focused on AI/ML systems, platforms, and integrations, in addition to traditional enterprise attack surfaces. Owns the design, execution, and reporting of AI-focused red team operations, adversarial testing, and threat emulation exercises targeting models, data pipelines, AI-enabled applications, and supporting infrastructure. Acts as a senior technical authority and program lead for AI red teaming, partnering with teams to identify, validate, and communicate AI-related risks. Drives maturity through repeatable testing methodologies, automation, custom tooling, and clear articulation of business impact.

Key Responsibilities:

  • Lead AI Red Team operations, including adversarial testing of:

    • Foundation and custom models (LLMs, vision, speech, decision systems)

    • Model deployment environments (APIs, plugins, agents, RAG pipelines)

    • Training, evaluation, and inference pipelines

    • Data ingestion, labeling, and governance controls

  • Design and execute AI-specific threat emulation aligned to real-world adversaries, misuse scenarios, and emerging attack techniques (e.g., prompt injection, data poisoning, model inversion, jailbreaks, supply chain risks).

  • Develop and maintain custom AI red team tooling, frameworks, and automation to scale testing and improve repeatability.

  • Perform security research into emerging AI attack techniques, model vulnerabilities, and defensive gaps.

  • Partner with detection, engineering, and governance teams to support purple-team and control validation activities.

  • Contribute to AI security standards, testing guidance, and program strategy.

  • Mentor and provide technical leadership to red team engineers.

Required Skills/Experience:

  • Bachelor's degree, or equivalent work experience

  • Eight plus years of relevant experience

  • Thorough understanding of the applicable information security systems, policies, and procedures

  • Effective communication, presentation skills, leadership, problem-solving and analytical skills

  • Proven collaboration and influencing skills

Preferred Skills/Experience:

  • Hands-on experience testing or securing AI/ML systems, including LLMs or other model classes

  • Knowledge of AI threat models and attack techniques including, but not limited to, prompt injection, model extraction, training data poisoning, inference abuse, hallucination exploitation

  • Familiarity with AI platforms and tooling (e.g., model APIs, orchestration frameworks, evaluation pipelines)

  • Significant red team experience, including adversary emulation and multi-stage attack chains

  • Proven skill developing proof-of-concept exploits and custom offensive tooling

  • Strong understanding of red team and offensive AI techniques and tooling

  • Expertise defeating or bypassing endpoint and AI-adjacent security controls (EDR/XDR, API protections, guardrails)

  • Experience with cloud, containerized, and AI-hosting environments

  • Proficiency in one or more languages (e.g., Python, PowerShell, Go, C/C++, Shell)

  • Ability to translate research into operational tooling

  • Exceptional written and verbal communication skills

This role requires working from a U.S. Bank location three (3) or more days per week.

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to ourdisability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

  • Healthcare (medical, dental, vision)

  • Basic term and optional term life insurance

  • Short-term and long-term disability

  • Pregnancy disability and parental leave

  • 401(k) and employer-funded retirement plan

  • Paid vacation (from two to five weeks depending on salary grade and tenure)

  • Up to 11 paid holiday opportunities

  • Adoption assistance

  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about theE-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $133,365.00 - $156,900.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.


What U.S. Bank employees say

Pay

Benefits

Hours and flexibility

Workplace

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About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

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