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Sr Machine Learning Engineer Jobs (NOW HIRING)

Attentive

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123.10K - $169.10K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.

Taskrabbit

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144.30K - $190.30K/yr

As a Senior Machine Learning Engineer, you will tackle exciting challenges that directly impact how people discover and connect with home services on the Taskrabbit platform. You will play a crucial ...

BILL

Senior Machine Learning Engineer

Draper, UT · On-site

$114.50K - $151K/yr

As a Senior Machine Learning Engineer, you will design, build, and deploy machine learning solutions that enhance BILL's products and directly impact user experiences. Responsibilities : • Design ...

Attentive

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115.10K - $158K/yr

They are seeking a Senior Machine Learning Engineer to build, scale, and operate production-grade ML systems that drive real-time personalization across their platform, while collaborating closely ...

Charlie Health

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115.10K - $158K/yr

The Senior Machine Learning Engineer will design and evaluate machine learning models to improve clinical outcomes and enhance the matching process between patients and therapists. Responsibilities ...

BILL

Senior Machine Learning Engineer

San Jose, CA · On-site

$143.50K - $189.20K/yr

As a Senior Machine Learning Engineer, you will design, build, and deploy machine learning solutions that enhance BILL's products and directly impact user experience. Responsibilities : • Design ...

Attentive

Senior Machine Learning Engineer

$107K - $146.90K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.

Attentive

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115.10K - $158K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.

Zillow

Senior Machine Learning Engineer

$163.20K - $260.60K/yr

About the role As a Senior Machine Learning Engineer on the Agentic Data Foundations team, you will: * Architect and Build: Lead the design, prototyping, and deployment of scalable machine learning ...

Attentive

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123.10K - $169.10K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.

Databricks

Sr. Machine Learning Engineer

San Francisco, CA · On-site

$123.10K - $169.10K/yr

The Senior Machine Learning Engineer will shape the direction of applied AI areas and intelligence features, develop state-of-the-art AI models, and work closely with cross-functional teams to ...

Attentive

Senior Machine Learning Engineer

$107K - $146.90K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.

Kikoff

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123.10K - $169.10K/yr

We are seeking a Senior Machine Learning Engineer to join our team. This role will focus on developing and maintaining machine learning infrastructure and operations, particularly for our cash ...

Attentive

Senior Machine Learning Engineer

$107K - $146.90K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137.30K/yr

We are looking for an experienced Senior Machine Learning Engineer with deep expertise in statistical and machine learning techniques, large-scale data processing, and model deployment in cloud ...

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All JobsSr Machine Learning Engineer Jobs

Sr Machine Learning Engineer information

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$59.5K

$126.6K

$183.5K

How much do sr machine learning engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for sr machine learning engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Sr Machine Learning Engineer, and why are they important?

To thrive as a Sr Machine Learning Engineer, you need advanced expertise in machine learning theory, programming (Python, R), data modeling, and a strong background in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP), and relevant certifications (like TensorFlow Developer) is highly beneficial. Strong problem-solving skills, effective communication, and the ability to lead and mentor teams set top candidates apart. These skills ensure the ability to design scalable ML solutions, collaborate effectively, and drive impactful business outcomes.

How does a Sr Machine Learning Engineer typically collaborate with data scientists and software engineers within a project team?

Sr Machine Learning Engineers frequently act as a bridge between data scientists, who focus on model development and experimentation, and software engineers, who handle system integration and production deployment. They translate prototype models into scalable, production-ready solutions, ensuring that models are optimized for real-world performance. Collaboration often involves reviewing code, aligning on data pipeline requirements, and participating in regular team meetings to address technical and business objectives. This cross-functional teamwork is essential for delivering reliable machine learning products.

What are Sr Machine Learning Engineers?

Senior Machine Learning Engineers are experienced professionals who design, develop, and implement machine learning models and systems. They work on complex problems, lead technical projects, and often mentor junior engineers. Their responsibilities include data preprocessing, model selection, algorithm development, and optimizing solutions for scalability and performance. Senior ML Engineers also collaborate closely with data scientists, software engineers, and stakeholders to integrate machine learning into products and services.

What is the difference between Sr Machine Learning Engineer vs Data Scientist?

AspectSr Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, ML, or related fields; experience with ML frameworksBachelor's/Master's/PhD in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds models, interprets data insights for business
Industry UsageTech, finance, healthcare, e-commerceResearch, marketing, finance, tech

While both roles involve working with data and models, Sr Machine Learning Engineers focus on building and deploying scalable ML systems, whereas Data Scientists primarily analyze data and develop insights. The roles often overlap but differ in technical focus and responsibilities.

More about Sr Machine Learning Engineer jobs
What cities are hiring for Sr Machine Learning Engineer jobs? Cities with the most Sr Machine Learning Engineer job openings:
What states have the most Sr Machine Learning Engineer jobs? States with the most job openings for Sr Machine Learning Engineer jobs include:
What job categories do people searching Sr Machine Learning Engineer jobs look for? The top searched job categories for Sr Machine Learning Engineer jobs are:
Sr Machine Learning Engineer jobs near you
Infographic showing various Sr Machine Learning Engineer job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 87% Full Time, 7% Part Time, and 5% Contract. Highlights an 69% Physical, 1% Hybrid, and 30% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.

Senior Machine Learning Engineer

Mariana Minerals

Ann Arbor, MI • On-site

$140K - $240K/yr

Full-time

Posted 24 days ago

Job description

About Mariana Minerals
Mariana Minerals is a software-first, vertically integrated minerals company on a mission to supply the critical minerals powering modern energy, AI, and defense technologies. We're reimagining the minerals supply chain by combining deep industry expertise with advanced software, automation, and data-driven decision-making.
The Role
Mariana Minerals is building the critical minerals supply chain from the ground up-and we're looking for a Senior+ Machine Learning Engineer to help make it autonomous.
We're not a software company selling tools to mining operators. We are a mining company that builds software. Mariana designs, builds, commissions, and operates our own mines and refineries. We develop proprietary chemical processes and run them at lab, pilot, and commercial scale. Today, we're producing battery-grade lithium salts from real oil and gas wastewater in our facilities. Our first commercial-scale lithium production facility, Lithium One, is targeting initial production in the first half of 2027.
As a Senior Machine Learning Engineer at Mariana, you'll lead the development and deployment of machine learning systems that directly control the operation of our mineral refining facilities and inform major investment and operational decisions. Your work won't live behind dashboards or proxy metrics-you'll see its impact in real recovery rates, energy consumption, reagent usage, and uptime on operating plants.
The Tech
This is some of the most interesting applied AI work happening today.
Our internal platform, PlantOS, uses the same reinforcement learning toolkits that power self-driving vehicles and humanoid robots-but applied to autonomous, short-interval control of mineral refining circuits. Models adjust operating set points and configurations in real time, optimizing across lithium recovery, reagent consumption, energy intensity, and equipment uptime simultaneously.
The environment is noisy and non-stationary: wastewater compositions shift, ore grades change, equipment ages. The system must continuously adapt. The end goal is fully autonomous refining operations. When you ship here, you can literally watch the physics change.
What You'll Do
  • Partner closely with Mariana's process chemistry and engineering teams to develop novel, data-driven models of core chemical unit operations.
  • Train and deploy reinforcement learning models to control real-world mineral processing operations.
  • Use physically realistic simulators to pretrain RL control algorithms, and work with subject matter experts to diagnose gaps between simulated and real-world performance.
  • Build and maintain techno-economic models that integrate process simulation with capital costs, operating costs, and commodity price scenarios to inform investment and operational strategy.
  • Collaborate with internal teams on sensor and instrumentation strategy, incorporating inline measurement data to improve model performance.
  • Help design and evolve Mariana's data architecture, including pipelines for training, validation, deployment, and monitoring of production ML systems.
Desired Qualifications
  • 4+ years of post-school experience in machine learning engineering or a closely related role.
  • Strong grounding in machine learning fundamentals, with the ability to translate research ideas into novel production systems.
  • Experience with techno-economic modeling, process simulation, and/or quantitative analysis in complex systems.
  • Proven ability to develop, deploy, and operate ML models in production environments.
  • A self-starter mindset and comfort operating in high-ambiguity environments. You'll work directly with chemical engineers, metallurgists, process engineers, and geologists-experts who understand the physics deeply and will challenge assumptions.
  • Ability to work across the ML stack, from data pipelines to model inference and monitoring, or deep expertise in one area with a desire to grow across the stack.
Why This Role
  • We own the projects, generate the data, and close the loop. Every facility we build makes the software smarter-and the next facility faster and cheaper.
  • Mining is one of the last major industrial sectors that hasn't been rebuilt with modern software. The opportunity here isn't a feature gap-it's entire workflows and systems that don't exist yet.
  • Your work will directly shape how critical minerals are produced at scale in the coming decades.

Why Join Us?
At Mariana Minerals, you'll be part of a mission-driven team reshaping the way critical minerals are sourced and supplied globally. You'll have the autonomy to make big decisions, the tools to innovate, and a culture that values ownership, smart automation, and collaboration.
Our culture is built on three principles:
Extreme Ownership - We take full responsibility for outcomes, relentlessly driving toward solutions.
Engineer Out Requirements, then Automate - We simplify, optimize, and then automate for scale.
Share Your Legos - We collaborate openly, share knowledge, and empower each other to build bigger, better solutions.
Join us as we build the future of responsible mineral sourcing and supply.
Mariana is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status.

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