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Machine Learning Startup Jobs (NOW HIRING)

Socket.dev

Machine Learning Engineer

Los Angeles, CA · On-site

Role Description Founding Data Scientist / Machine Learning Engineer We're looking for a highly ... Startup mindset with a desire to build and move quickly Bonus * Recommendation Systems * Marketing ...

Tacit

Machine Learning Scientist

San Francisco, CA · On-site

$180K - $270K/yr

About Tacit We are an early-stage, deep tech startup based in San Francisco, developing innovative ... About the role As a Machine Learning Scientist , you will develop cutting-edge AI models to ...

Goodfire

Machine Learning Engineer

San Francisco, CA · On-site

They are seeking a Machine Learning Engineer to contribute to the development of tools and ... Preferred : • Open-source ML infra contributions. • Startup or frontier lab experience in fast ...

Goodfire

Machine Learning Engineer

Manhattan, NY · On-site

They are seeking Machine Learning Engineers to build a platform for training, evaluating, and ... Preferred : • Open-source ML infra contributions. • Startup or frontier lab experience in fast ...

Tacit

Machine Learning Scientist

San Francisco, CA · On-site

$180K - $270K/yr

About Tacit We are an early-stage, deep tech startup based in San Francisco, developing innovative ... As a Machine Learning Scientist, you will develop cutting‑edge AI models to integrate and decode ...

Steg.AI

Machine Learning Scientist

Irvine, CA · On-site

AI is a National Science Foundation (NSF) and investor-funded startup based in Orange County, California. Our machine learning team currently consists of 3 PhDs in Computer Vision.We are looking for ...

Neurable, INC

Machine Learning

Cambridge, MA · On-site

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the ... We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would ...

Neurable, INC

Machine Learning

Cambridge, MA

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the ... We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for ... paced startup environment, and able to demonstrate strong ownership and urgency in execution.

Modulate

Machine Learning Engineer

Somerville, MA · On-site

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Experience in fast‑paced startup environments Benefits * Competitive salary + equity * Full ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

The Machine Learning Engineer will design and develop scalable training pipelines for multimodal AI ... paced startup environment, and able to demonstrate strong ownership and urgency in execution.

Sierra Ventures

Machine Learning Engineer

Somerville, MA · On-site

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Experience in fast‑paced startup environments Benefits * Competitive salary + equity * Full ...

EarnIn

Head of Machine Learning

Mountain View, CA · Hybrid

$477K - $583K/yr

... fast-paced startup environments. This leader should have a strong coding foundation, deep ... Define and own the machine learning roadmap in alignment with business goals. * Lead the ML ...

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Showing results 21-40

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Machine Learning Startup information

See salary details

$25.5K

$42.6K

$88K

How much do machine learning startup jobs pay per year?

As of Sep 10, 2026, the average yearly pay for machine learning startup in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is a machine learning startup?

A Machine Learning Startup job typically involves working in a fast-paced, early-stage company focused on developing and applying machine learning technologies. Employees may take on diverse responsibilities, including data collection, model development, algorithm optimization, and deployment. Since startups require adaptability, roles often blend research, engineering, and business-oriented problem-solving. These positions offer opportunities to work on cutting-edge innovations but may also demand long hours and rapid prototyping.

What are the typical responsibilities and daily challenges when working at a machine learning startup?

At a Machine Learning Startup, your daily tasks often include collecting and preprocessing data, training and validating models, collaborating with engineers to deploy solutions, and iterating rapidly based on feedback and performance metrics. You may also contribute to brainstorming sessions, product roadmapping, and customer discovery processes. Common challenges include working with limited labeled data, balancing research with production needs, and managing shifting priorities as the business pivots or scales. This dynamic environment provides a valuable opportunity to make a tangible impact, develop a broad skill set, and gain exposure to multiple aspects of both technology and entrepreneurship.

What are the key skills and qualifications needed to thrive in a machine learning startup, and why are they important?

To succeed in a Machine Learning Startup, a strong background in computer science, statistics, and applied mathematics is essential, along with practical experience building and deploying machine learning models. Proficiency in tools such as Python, TensorFlow, PyTorch, and cloud-based platforms, as well as familiarity with data versioning and model deployment systems, is highly valuable. Adaptability, entrepreneurial thinking, and strong communication skills are crucial for thriving in the dynamic startup environment. These competencies enable effective product development, rapid iteration, and impactful collaboration within a fast-paced, resource-constrained setting.

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Machine Learning Startup jobs near you
Infographic showing various Machine Learning Startup job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Engineer

Los Angeles, CA • On-site

Socket.dev
Network Security • 1 - 10 employees
Learn more about Socket.devexternal

Other

Re-posted 6 days ago

Job description

Company Description

nowfluence is building the trusted infrastructure layer for influencer marketing.

Backed by USC and Techstars, we're creating the software, data, and intelligence systems that help brands discover creators, launch campaigns, track ROI, manage payments, and make smarter investment decisions across the creator economy.

Our mission is simple: make influencer marketing measurable, scalable, and accessible to everyone. From global consumer brands to local restaurants, cafés, and emerging businesses, we're building the platform that helps companies confidently invest in creator partnerships.

As creator marketing becomes one of the largest advertising channels in the world, we're building the systems that power it.

Role Description

Founding Data Scientist / Machine Learning Engineer

We're looking for a highly ambitious Data Scientist to help build the predictive intelligence layer behind nowfluence.

This is not a reporting or dashboard role.

You'll be responsible for developing the models, pipelines, and analytics systems that help brands answer critical questions:

  • Which creators are most likely to drive revenue?
  • Which partnerships should be renewed?
  • How can campaign outcomes be predicted before budgets are spent?
  • How do we make influencer marketing more accessible and successful for SMBs?

You'll work across product, engineering, and data to transform creator, campaign, audience, and attribution data into scalable machine learning systems used by brands running influencer programs at scale.

Your work will directly influence how businesses allocate marketing budgets and make decisions across the creator economy.

Requirements
  • Strong experience with Python, Machine Learning, and Predictive Modeling
  • Experience building production-grade data pipelines and analytics infrastructure
  • Proficiency with React, Next.js, TypeScript, and Tailwind CSS
  • Experience with PostgreSQL, APIs, and modern cloud architectures
  • Strong understanding of statistics, experimentation, and large-scale data analysis
  • Experience deploying ML models into production environments
  • Startup mindset with a desire to build and move quickly
Bonus
  • Recommendation Systems
  • Marketing Attribution
  • Shopify Data
  • Creator Economy Experience
  • LLMs and AI Agents
  • Data Warehousing & ETL Systems

Join us as we build the intelligence layer powering the future of influencer marketing.

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Apply