Applied Machine Learning Engineer

Jobs via Dice; San Francisco (CA); Hybrid; USD 200,000 - 270,000; Part time

Job summary

A high-growth data startup is seeking an Applied Machine Learning Engineer to design and implement ML models and collaborate with teams to enhance their platform. With a competitive salary and strong benefits, this role offers the chance to shape the company’s machine learning initiatives significantly.

Benefits

Fully covered health, dental, & vision

401K + match

PTO, vacation, sick leave, and much more

Open to onsite or remote candidates

Qualifications

• 4-10+ years of experience in Software Engineering and Machine Learning.
• Experience with LLM / NLP and building products in a high-scale SaaS environment.
• Strong backend engineering skills and understanding of ML modeling.

Responsibilities

• Design and implement machine learning models for various applications.
• Collaborate with customers to define ML-based solutions.
• Architect scalable ML infrastructure for efficient data applications.

Skills

Machine Learning

Software Engineering

NLP

Recommendation Systems

Data Analysis

Education

Bachelor's degree in Computer Science

Tools

Distributed Backend Infrastructure

Job description

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High-Growth Data Startup is looking for a Machine Learning Software Engineer to join their growing team!

This Jobot Job is hosted by: Sydney Weaver

Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.

Salary: $200,000 - $270,000 per year

A bit about us:

Backed by Y Combinator and fresh off a $50M Series C funding round, this fast-scaling data infrastructure company is redefining how organizations sync, activate, and intelligently use customer data. Already trusted by major players like Spotify and Ramp, the platform enables high-throughput, low-latency data syncing across SaaS tools. Now, the team is building out a new intelligence layer to transform raw data into actionable insights-unlocking the next generation of personalization, experimentation, and automation.

This is a high-impact, foundational role for a Machine Learning Engineer with strong software engineering chops. You'll work across the stack, influencing product direction and technical architecture, and be instrumental in building core ML features from 0 to 1.

Why join us?

Culture

• Outcomes based, no micro-management or unnecessary meetings. We trust our team and get out of the way
• Great work life balance. We believe you can't do more than 6-8 hours of great engineering work in a day
  
  

Benefits

• Open to onsite or remote candidates with offices in NY and SF
• Competitive Salary + Equity
• Fully covered health, dental, & vision
• 401K + match
• PTO, vacation, sick, and much more!
  
  

Job Details

Responsibilities

• Design and implement machine learning models for personalization, predictive audiences, experimentation, and budget optimization
• Build systems that help determine what content to send, to whom, and when-based on terabytes of data
• Collaborate with customers to understand business goals and define ML-based solutions
• Architect scalable ML and backend infrastructure to support low-latency data applications
• Drive innovation in applying LLMs to generate high-performing marketing content (text, images, creatives)
• Analyze and optimize budget allocation by measuring incremental conversions and cost efficiency
• Contribute to product vision, working closely with cross-functional teams including data, product, and design
• Play a key role in shaping the company's growing intelligence layer as one of the first ML hires
  
  

Requirements

• Bachelor's degree in Computer Science, Electrical Engineering, or related field
• 4-10+ years of experience in both Software Engineering and Machine Learning
• Experience with LLM / NLP / RAG and proven experience building recommendation, search, personalization, and/or pricing systems
• Experience building and shipping products from scratch in a high-scale SaaS environment
• Hands-on experience with distributed backend infrastructure and production ML pipelines
• Strong backend engineering skills and a deep understanding of ML modeling
• Excellent communication skills-able to clearly articulate complex systems and decisions
  
  

Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment 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.

Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Part-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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