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Director Google Machine Learning Engineer Jobs in Oregon

Cresta

OR

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs. Current focus areas include:

Cresta

Senior Machine Learning Engineer

OR · On-site +1

$205K - $270K/yr

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs. Current focus areas include:

Quora

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...

Posted today

Quora

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...

Posted today

phData

OR

We are looking for a Machine Learning Architect to join our Machine Learning team. In this role ... You will collaborate closely with clients, data scientists, data engineers, platform/DevOps teams ...

Cresta

OR

$104K - $143K/yr

About the role We are looking for a Senior Machine Learning Engineer, Voice Experience to help build the next generation of AI-powered voice systems for the contact center. In this role, you will ...

Nextdoor

OR

$205K - $355K/yr

Finally, you will help build the foundational patterns that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platform * Collect and gather ...

Instacart

OR · On-site

Strong programming (Python, Golang) and algorithmic skills. * Solid foundations in machine learning, algorithms, or optimization * Curious, self-motivated, and comfortable working on open-ended ...

Vectara

Machine Learning (ML) Engineer

OR · On-site +1

... Google. Join us as we pursue our mission to help the world find meaning. People at Vectara are ... machine learning to real-world problems, and crafting scalable and effective ML/AI solutions.

Cotiviti

$125K - $172K/yr

Overview We are looking for a Senior Principal Machine Learning Engineer to lead the design and ... director Employment Type: OTHER

Instacart

OR

You will help design and build end-to-end machine learning solutions. * You will be working in ... You will work closely with engineers, product managers, other teams, and both internal and external ...

Zillow

OR · On-site

$194K - $310K/yr

About the role As a Principal Machine Learning Engineer on the Agentic Artificial Intelligence team ... Criminal history may have a direct, adverse, and negative relationship with some of the material ...

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All JobsGoogle Machine Learning Engineer JobsDirector Google Machine Learning Engineer JobsDirector Google Machine Learning Engineer Jobs in Oregon

Director Google Machine Learning Engineer information

Is L7 senior at Google?

At Google, L7 is considered a senior-level position, typically involving significant technical expertise and leadership responsibilities. It is often associated with senior engineers or managers, depending on the role and team structure.

What engineer makes $500,000 a year?

A senior Google Machine Learning Engineer or Director level in large tech companies can earn $500,000 or more annually, often including base salary, bonuses, and stock options. These roles typically require extensive experience, advanced skills in machine learning and AI, and often involve leadership responsibilities and high-impact projects.

How much does a Google Engineering director make?

A Google Engineering Director typically earns between $200,000 and $300,000 annually, with total compensation including bonuses and stock options often exceeding this range. Compensation varies based on experience, location, and performance, and senior roles may include additional benefits and incentives.

Will MLE be replaced by AI?

As a Google Machine Learning Engineer, the role involves developing and deploying AI models, but AI is a tool that enhances rather than replaces MLE work. MLEs focus on designing, optimizing, and maintaining machine learning systems, which require expertise in data science, programming, and domain knowledge that AI cannot fully replicate. The role is expected to evolve with advancements in AI, emphasizing collaboration with AI systems rather than replacement.
What are popular job titles related to Director Google Machine Learning Engineer jobs in Oregon? For Director Google Machine Learning Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Director Google Machine Learning Engineer jobs in Oregon look for? The top searched job categories for Director Google Machine Learning Engineer jobs in Oregon are:
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Director Google Machine Learning Engineer jobs near you
Staff Machine Learning Engineer

Staff Machine Learning Engineer

Cresta

OR

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

Job description

About the role:

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs.

Current focus areas include:

  • Agentic Assist: Lead and build next-generation agentic AI systems that augment contact center agents in real time. This track requires strong pre-LLM ML foundations, deep expertise in LLMs and modern prompting techniques, a rapid prototyping mindset, and a proven ability to translate cutting-edge research into scalable, production-grade systems.
  • Agent & System Quality: Design evaluation frameworks and improve the reliability, robustness, and performance of LLM-powered agents. This includes diagnosing and mitigating failure modes such as hallucinations, retrieval errors, tool misuse, context drift, prompt brittleness, and multi-step reasoning breakdowns, while defining measurable quality metrics (e.g., accuracy, faithfulness, task completion, latency, and cost) for complex, non-deterministic systems.
  • Insights: Architect and scale LLM and retrieval-augmented generation pipelines that ground models in enterprise data. This track focuses on building high-performance ML systems that process complex data, extract structured insights, and deliver real-time, actionable intelligence at scale.

Responsibilities:

  • Define and lead the technical vision for Cresta's next-generation Agentic AI systems, including Agentic Assist and enterprise AI Agents.
  • Architect scalable, production-grade LLM systems that integrate reasoning, retrieval, planning, tool use, and real-time decision-making into cohesive, intelligent workflows.
  • Design and evolve multi-agent orchestration frameworks that combine RAG, structured knowledge, domain-adapted models, and automated actions.
  • Establish best practices for building robust, reliable, and cost-efficient LLM-powered systems in high-scale production environments.
  • Own evaluation strategy for complex, non-deterministic AI systems, including offline benchmarking, online experimentation, LLM-as-a-judge methodologies, and systematic failure analysis.
  • Proactively identify and mitigate agent failure modes such as hallucinations, tool misuse, retrieval errors, prompt brittleness, context drift, and multi-step reasoning breakdowns.
  • Define measurable quality standards (accuracy, faithfulness, task completion, latency, cost efficiency, robustness) and drive continuous system improvement.
  • Influence cross-team architecture decisions across ML, backend, and product engineering to ensure seamless integration of AI capabilities.
  • Mentor senior engineers, raise the technical bar, and contribute to long-term AI strategy and roadmap planning.
  • Translate cutting-edge research advances into practical, high-impact production systems.

Qualifications We Value:

  • Bachelor's degree in Computer Science, Mathematics, or a related field; Master's or Ph.D. strongly preferred.
  • 7+ years of experience building and deploying machine learning systems in production, including deep hands-on experience with LLMs at scale.
  • Demonstrated leadership in architecting complex AI systems, particularly agentic or multi-step LLM workflows.
  • Deep expertise in transformer-based models, embeddings, retrieval systems, and Retrieval-Augmented Generation (RAG) pipelines.
  • Experience designing evaluation frameworks for LLM systems beyond single-turn prompts, including robustness testing and production monitoring.
  • Strong systems thinking: ability to design for scalability, latency constraints, cost efficiency, security, and long-term maintainability.
  • Extensive experience with modern ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and distributed/cloud-based infrastructure.
  • Proven ability to influence technical direction across teams as a senior individual contributor.
  • A strong bias toward action - able to prototype rapidly while maintaining production rigor.

Perks & Benefits:

We offer a comprehensive and people-first benefits package to support you at work and in life:

  • Comprehensive medical, dental, and vision coverage with plans to fit you and your family
  • Flexible PTO to take the time you need, when you need it
  • Paid parental leave for all new parents welcoming a new child
  • Retirement savings plan to help you plan for the future
  • Remote work setup budget to help you create a productive home office
  • Monthly wellness and communication stipend to keep you connected and balanced
  • In-office meal program and commuter benefits provided for onsite employees

Compensation at Cresta: 

Cresta's approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.

The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.

OTE Range: $230,000-$300,000 + Offers Equity

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