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Senior Staff Machine Learning Engineer Jobs (NOW HIRING)

Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll work alongside AI scientists and machine learning engineers to create AI-powered experiences. You'll be expected to help ...

Overview Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll work alongside AI scientists and machine learning engineers to create AI-powered experiences. You'll be expected ...

Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll work alongside AI scientists and machine learning engineers to create AI-powered experiences. You'll be expected to help ...

Senior/Staff Machine Learning Engineer

$107K - $146K/yr

Hands-on experience in creating, cleaning, and maintaining high-quality datasets tailored for machine learning applications. * Strong Software Engineering and Design Experience * Proficient in ...

We are seeking a Staff Machine Learning Engineer / Data Scientist to serve as a technical anchor for our machine learning and AI capabilities. Reporting directly to the Director of Recommendation ...

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Senior Staff Machine Learning Engineer information

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$59.5K

$126.6K

$183.5K

How much do senior staff machine learning engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for senior staff 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 does a senior staff machine learning engineer do?

A Senior Staff Machine Learning Engineer leads the design, development, and deployment of complex machine learning systems within an organization. They work closely with cross-functional teams to identify business challenges that can be addressed with machine learning and guide the technical strategy for implementing solutions. Their responsibilities often include mentoring junior engineers, setting best practices, overseeing large-scale projects, and ensuring models are robust, scalable, and ethically implemented. Additionally, they may contribute to research and development, staying up-to-date with the latest advancements in the field.

What are the primary challenges a senior staff machine learning engineer faces when leading large-scale ML projects?

Senior Staff Machine Learning Engineers often navigate complex challenges such as aligning cross-functional teams, ensuring model scalability, and maintaining data integrity across evolving pipelines. They are responsible for setting technical direction, mentoring junior engineers, and driving collaboration between data scientists, software engineers, and product managers. Balancing hands-on technical work with high-level architectural decisions, while also keeping up with rapid advancements in the field, is key to success in this role.

What are the key skills and qualifications needed to thrive as a senior staff machine learning engineer, and why are they important?

To thrive as a Senior Staff Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, software engineering, and a relevant advanced degree (often MS or PhD). Mastery of tools such as Python, TensorFlow, PyTorch, distributed computing frameworks, and experience with cloud platforms is typically required. Strong leadership, communication, and project management skills distinguish top performers in this role. These abilities are crucial for designing scalable ML solutions, leading teams, and driving impactful business outcomes.

What is the difference between Senior Staff Machine Learning Engineer vs Machine Learning Engineer?

AspectSenior Staff Machine Learning EngineerMachine Learning Engineer
CredentialsBachelor's/Master's/PhD in CS, AI, or related; experience in ML frameworksBachelor's/Master's in CS, AI, or related; some experience in ML
Work EnvironmentLeadership roles, cross-team collaboration, strategic planningImplementation, model development, experimentation
Industry UsageTech companies, research labs, large enterprisesStartups, tech firms, research projects

The Senior Staff Machine Learning Engineer typically holds a more senior, strategic role with leadership responsibilities, while the Machine Learning Engineer focuses on developing and deploying ML models. Both roles require strong technical skills, but the senior position involves guiding projects and mentoring teams.

More about Senior Staff Machine Learning Engineer jobs

What cities are hiring for Senior Staff Machine Learning Engineer jobs?

Cities with the most Senior Staff Machine Learning Engineer job openings:

What states have the most Senior Staff Machine Learning Engineer jobs?

States with the most job openings for Senior Staff Machine Learning Engineer jobs include:

Infographic showing various Senior Staff Machine Learning Engineer job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 76% Full Time, 16% Part Time, 1% Temporary, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.

Senior/Staff Machine Learning Engineer, Match Team

Enigma

New York, NY • On-site

$114K - $157K/yr

Full-time

Re-posted 29 days ago


Key responsibilities

  • Develop innovative solutions to complex problems in information retrieval, ranking, semantic search, query understanding, and recommendation systems

  • Build and optimize low-latency, high-throughput search APIs, indexing pipelines, and retrieval systems using Python, Typesense, and AWS

  • Lead end-to-end work from research design through experimentation, productionization, and customer-facing delivery


Job description

The Opportunity

This is a critical and exciting time at Enigma. Our customers consistently tell us that our data products create tremendous value and are deeply aligned with their most important workflows. As demand grows, we have an urgent opportunity to improve both the intelligence of our data and the systems through which customers access it.

We are looking for an experienced Senior/Staff Machine Learning Engineer to join our Match Team and help shape the next generation of Enigma's customer-facing data products.

In this role, you will combine advanced statistical and machine learning research with the engineering systems required to power fast, relevant, and reliable search experiences at scale. This is a uniquely high-impact role sitting at the intersection of information retrieval, ranking systems, semantic search, distributed systems, and customer data delivery.

The Role

At the core of Enigma's product is our data, which makes both data science and delivery systems central to what we build.

As a Senior/Staff ML Engineer on the Match Team, you will lead efforts that improve the relevance, latency, and scalability of our customer-facing data products. You'll work across the full lifecycle: framing retrieval and ranking problems, developing models and experimentation strategies, evaluating results using real-world signals, and implementing high-throughput search and retrieval systems.

This role is ideal for someone who is excited by both hard ranking/search problems and the systems challenges of turning those solutions into low-latency, production-grade retrieval systems.

What You'll Do
  • Develop innovative solutions to complex problems in information retrieval, ranking, semantic search, query understanding, and recommendation systems
  • Build and optimize low-latency, high-throughput search APIs, indexing pipelines, and retrieval systems using Python, Typesense, and AWS
  • Evaluate and evolve our search technology stack, driving technical design decisions across indexing strategies, retrieval architecture, and system performance tradeoffs
  • Lead end-to-end work from research design through experimentation, productionization, and customer-facing delivery
  • Design evaluation frameworks for measuring relevance, precision/recall, ranking quality, and user engagement signals
  • Improve query understanding via techniques like embedding models, vector search, hybrid retrieval, and query rewriting
  • Detect and investigate anomalies in search performance, ranking behavior, and data freshness, tracing issues to root cause
  • Partner closely with Product, Engineering, and client stakeholders to improve search experience and discoverability
  • Mentor teammates and help raise the bar for experimentation rigor, system design, and operational excellence
What Makes This Role Exciting?
  • Impact: At Enigma, data science and machine learning aren't just used to make product decisions; they are the product. Your work will directly shape how customers find, explore, and trust our data.
  • Technical Challenge: This role spans some of the hardest challenges in search relevance, large-scale retrieval systems, ranking models, APIs, and distributed systems. If you like a technical challenge, this role is for you.
  • Ownership: You'll have meaningful autonomy to shape both research direction and the production systems that power it, including having a strong voice in our tooling and vendor ecosystem.
  • Customer Proximity: Your work will directly influence how sophisticated customers integrate Enigma data into critical workflows and decision-making systems.
Our Ideal Candidate
  • Brings 5+ years of experience across machine learning, software engineering, data science, or data-intensive product systems
  • Has strong programming proficiency in Python and experience operating within cloud environments (AWS preferred)
  • Demonstrated applied, production-level expertise in two or more of the following technical domains: information retrieval, ranking systems, NLP/embedding models, or distributed systems.
  • Has experience designing, fine-tuning, and operating high-scale backend systems, APIs, or data delivery platforms
  • Brings strong judgment in ambiguous environments where relevance signals and ground truth are noisy or implicit
  • Effectively communicates technical concepts and tradeoffs to technical and non-technical audiences
  • Thrives in highly collaborative environments with strong ownership and fast iteration cycles
  • Has an advanced degree in a quantitative discipline or equivalent deep industry experience
Bonus Points If You
  • Have deep experience with our core stack (Typesense, Python, AWS) or similar retrieval infrastructure (Elasticsearch, OpenSearch, FAISS)
  • Have built customer-facing search or recommendation systems or APIs
  • Have worked on query understanding, embeddings, LLM-powered retrieval, or hybrid search systems
  • Have mentored senior engineers or data scientists and raised the technical bar across disciplines
About Us

At Enigma, we're building the single, most reliable source of data on businesses to power the future of financial services. By engineering better data from hundreds of public and third-party sources, we aim to tell the complete story of every business, so that companies of every size can access the financial services they need to grow and thrive. Our core values - generosity, curiosity, ingenuity, & drive - guide everything we do, from how we make our most important product decisions to how we work with and support one another on a daily basis. We're a team of curious, driven individuals with diverse backgrounds and skills, but we're all passionate about engineering deeper understanding through data-together. If this resonates, we would love to hear from you!

We are proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Salary Range: $180,000-$295,000

A note on salary ranges: we pride ourselves on paying competitively for our size and industry. Salary is one piece of a total Enigma compensation package that includes additional benefits and opportunities. All of our compensation packages include equity because we believe 100% of Enigma employees should have the option to purchase ownership in the company and benefit from the value we're creating together.