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60 Parsec Senior Machine Learning Engineer Jobs Hiring Near You

Senior Machine Learning Engineer

Palo Alto, CA · On-site

$144K - $189K/yr

Sr. Machine Learning Engineer Palo Alto, CA (Onsite 5x a week) At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize ...

About the Role We're looking for a Senior Machine Learning Engineer to join our AI team and help build the next generation of predictive trading models. You'll work on cutting-edge problems involving ...

Sr Machine Learning Engineer

Irvine, CA

$112K - $154K/yr

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning platforms used for media measurement and customer analytics. This role partners closely with Data ...

Senior Machine Learning Engineer

Raleigh, NC · On-site

$101K - $139K/yr

We are seeking a Senior Machine Learning Engineer to help lead the design and validation of AI-driven product capabilities within the legal domain. This role focuses on defining what to build and why ...

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning platforms used for media measurement and customer analytics. This role partners closely with Data ...

As a Senior Machine Learning Engineer, you will own the end to end ML lifecycle at Button, from the data and feature pipelines that feed models, through training and evaluation workflows, to ...

Sr. Machine Learning Engineer

San Mateo, CA · On-site

$139K - $184K/yr

Veryfi is seeking a Sr. Machine Learning Engineer who will sit at the intersection of software engineering and data science. The role involves leveraging big data tools to redefine raw data into ...

Sr. Machine Learning Engineer

Dearborn, MI · On-site +1

$96K - $132K/yr

Sr. Machine Learning Engineer 140,000 to 180,000 per year Yearly Bonus Summary: As a Senior Machine Learning Engineer within the AI Squad and reporting to the Director of AI Engineering, you'll ...

Senior Machine Learning Engineer At EvenUp, we leverage cutting-edge AI to bring fairness and ... social media messages. If you're interested in a role, please submit your application directly ...

Sr Machine Learning Engineer

Raleigh, NC · On-site

$101K - $139K/yr

RIT Solutions, Inc. is seeking a Senior Machine Learning Engineer. The role involves deploying machine learning models at scale and working with cloud services, Kubernetes, and orchestration of ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing ...

Senior Machine Learning Engineer Work Location & Reporting Address: Fort Worth, TX 76155 (Onsite-Hybrid. Local candidates only) Contract duration: 6 Months Interview Mode- In-person Interview Must ...

Sr. Machine Learning Engineer

Fort Belvoir, VA · On-site

$118K - $162K/yr

Role: Sr. Machine Learning Engineer Location: Ft. Belvoir, VA (On-site with Hybrid Option) Duration: Long Term Contract Clearance: DOD Top Secret Clearance (Must) As a consultant, will be working to ...

Showing results 21-40

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Infographic showing various Senior Machine Learning Engineer job openings at Parsec in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% Physical, and 50% Remote job distribution.

Senior Machine Learning Engineer

Klaviyo

Palo Alto, CA • On-site

$144K - $189K/yr

Full-time

Posted 6 days ago


Job description

Sr. Machine Learning Engineer

Palo Alto, CA (Onsite 5x a week)

At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We've built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 200,000+ customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We have a big opportunity to build state-of-the-art AI and machine learning technologies at Klaviyo to power our products and develop AI agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business.

As a Sr. Machine Learning Engineer at Klaviyo, you will help build models that extract insights from the massive streams of data that Klaviyo ingests continuously. You will apply cutting-edge techniques from deep learning, recommender systems, language modeling, and more to integrate artificial intelligence into our product and bring customers value. You will need to deep dive into the product and the code to understand and contribute to solutions with your technical knowledge and experiences. You will be working with partners in Engineering, Product, and Design to solve challenging problems, and talking to stakeholders and customers firsthand.

Things you'll do & make a difference

  • Train and deploy large-scale Machine Learning models in production systems to improve the values our product provide to our customers
  • Create AI engines or agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business and demonstrably outperform our human customers at Klaviyo.
  • Introduce conversational AI interfaces into our software to make our customers more efficient users of our products.
  • Build generative AI models that can automatically generate content for marketing given customer input on context, to maximize customer ROI or improve customers' productivity.
  • Work in high impact environments with fast experimentation and product development cycles

What we are looking for:

  • Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • 5+ years of experience in AI, machine learning, or related fields, with a track record of successfully leading large-scale AI / machine learning projects launched in products with a significant impact on users / customers.
  • Experience with machine learning frameworks such as Huggingface, PyTorch, Tensorflow, Keras; Experience with distributed training with Spark, Ray, etc.
  • Experience leading technical projects and working with engineering teams and product managers successfully to deliver customer-facing features
  • Experience of developing and putting machine learning models into production, while also owning and maintaining production models long term
  • Experience owning the full product lifecycle of ML development, including defining success metrics, designing and analyzing A/B tests, and iterating based on result
  • Experience mentoring others

Nice to have:

  • Experience with recommendation systems, including designing, training, and deploying recommendation models, as well as building retrieval and ranking systems.
  • Experience working in B2B businesses and interacting with customers directly
  • Experience developing technical roadmaps for solving complex business problems using Machine Learning
  • Experience fine-tuning and productionizing transformer-based models at scale, particularly large language models.