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Software Engineer Ml Jobs (NOW HIRING)

About the Role Nuro is seeking a Software Engineer with expertise in large-scale infrastructure, workload orchestration, and data processing to join our ML Infrastructure team . In this role, you ...

About the Role Nuro is seeking a Software Engineer with expertise in large-scale infrastructure, workload orchestration, and data processing to join our ML Infrastructure team . In this role, you ...

... the ML org through design reviews and mentorship of other senior engineers. Skills and Experience * BS in Computer Science or a relevant technical field. * 7+ years of professional software ...

This role works across all ML teams within Zoox - Perception, Behavior ML, Simulation, Data Science, Collision Avoidance, as well as with our Advanced Hardware Engineering group specifying our next ...

Software Engineer, ML Infra

Mountain View, CA ยท On-site +1

$180K - $225K/yr

Collaborate with ML engineers to build robust model pipelines utilizing the ML infrastructure. Requirements * Education: Bachelor's degree in a related field with 5+ years of relevant experience, or ...

Sr. Software Engineer - ML Systems

Denver, CO ยท On-site +1

$176K - $206K/yr

About the Opportunity We are seeking a Senior Software Engineer to design, build, deploy, monitor, and optimize production-ready ML services in regulated healthcare. You will work hands-on to package ...

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Software Engineer Ml information

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$63.5K

$147.5K

$205.5K

How much do software engineer ml jobs pay per year?

As of Jun 4, 2026, the average yearly pay for software engineer ml in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Software Engineer ML, and why are they important?

To thrive as a Software Engineer ML, you need strong proficiency in programming (especially Python), algorithms, machine learning theory, and a relevant degree in computer science or a related field. Experience with ML frameworks like TensorFlow or PyTorch, and familiarity with cloud computing platforms and version control systems are typically required. Analytical thinking, problem-solving, and effective communication skills help you stand out in collaborative and complex project environments. These skills are vital to efficiently develop, deploy, and maintain robust machine learning solutions that drive business value.

What are some common challenges faced by Software Engineers working in Machine Learning, and how can they be addressed?

Software Engineers in Machine Learning often encounter challenges such as managing large datasets, ensuring model accuracy, and keeping up with rapidly evolving frameworks and tools. Collaboration with data scientists and domain experts is essential to align technical solutions with business goals. Staying current through continuous learning and leveraging cloud-based platforms or MLOps practices can help streamline workflows and improve model deployment. Additionally, effective communication within cross-functional teams is crucial for addressing both technical and non-technical challenges.

What does a Software Engineer, ML do?

A Software Engineer, ML (Machine Learning) designs, develops, and deploys software systems that use machine learning algorithms to solve complex problems. They work on tasks such as building data pipelines, training and testing machine learning models, and integrating these models into production applications. They collaborate closely with data scientists, product managers, and other engineers to ensure that ML systems are scalable, efficient, and meet business objectives. Their work often involves programming, data analysis, and staying up-to-date with the latest developments in AI and machine learning.
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Infographic showing various Software Engineer Ml job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 95% Full Time, 1% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.

Senior Software Engineer - ML Services

career

Mountain View, CA โ€ข On-site

$144K - $190K/yr

Full-time

Posted 28 days ago


Job description

LandingAI is building the infrastructure to make the worldโ€™s documents computable.

We are an AI-native company transforming unstructured and dark data into trusted, structured, auditable data that software can understand and act on. Our focus is on the hardest document understanding problems: multiple document types, complex layouts, tables, images, handwriting, and mixed modalities within and across workflows.

Founded by Andrew Ng, LandingAI has brought together some of the strongest AI Engineers and Machine Learning Engineers in the industry, with deep expertise in visual AI, agentic systems, foundation models, and production ML infrastructure. We build from the ground up where it matters, move fast with the latest AI coding tools and agentic developer workflows, and invest in the compute and technical environment needed to do exceptional work.

Our work is grounded in three core strengths:

  • Agentic systems built for production. We have been early builders of agentic AI systems and have applied that work in the real world through Agentic Document Extraction (ADE), our platform for parsing, understanding, and extracting information from complex documents with traceability, control, and production-grade reliability.

  • A data-centric mindset. We bring a rigorous, practical approach to model quality, edge cases, evaluation, and real customer data, because solving document understanding in production requires far more than strong benchmark performance.

  • A vision-first approach to foundation models. We build from the ground up where it matters, including specialized document models and agentic systems, because solving real document understanding problems requires more than stitching together generic components.

Since launching Agentic Document Extraction in early 2025, LandingAI has grown quickly by bringing a modern, AI-native approach to a legacy intelligent document processing market ready for disruption.

This is a place for builders. If you want to work on real technical depth, move quickly, take ownership, and help define the future of document intelligence, LandingAI is the place to do it.
Key Responsibilities
  • Be a driving force for the team's agentic coding practice - establishing patterns for spec-driven development, context engineering, and multi-agent orchestration that compound team output.

  • Design, develop, and maintain AI-powered applications and services, focusing on high availability, performance, and reliability.

  • Work closely with Machine Learning Engineers, building AI capabilities from early R&D prototyping to scalable operation in multiple production stacks.

  • Build ML services designed for low-latency or high-throughput, and optimized for high cost efficiency.

  • Lead cross-functional initiatives, collaborating with Machine Learning Engineers, Product Managers, and other teams to align technical solutions with business needs.

  • Drive innovation by making strategic technical decisions, setting best practices, and mentoring engineers to elevate the teamโ€™s technical bar.

  • Improve ML development process by enhancing the internal ML platform, facilitating data sourcing, and enabling ML observability for deployed services.

Required Skills
  • Fluency with agentic coding tools (Claude Code, Codex or equivalent). Experience writing effective specs, managing repo context, and reviewing/verifying agent output.

  • 5+ years of experience in software development, with a strong backend and ML engineering background.

  • Experience working with cloud native technologies (Docker, Kubernetes).

  • Experience working with cloud platforms (AWS, GCP, or Azure).

  • Experience with building ML systems, from early prototype, to operating at scale in production.

  • Strong software architecture skills, with experience designing and scaling distributed systems and cloud-based applications.

  • Experience mentoring engineers and contributing to team-wide technical direction.

  • Strong communicationย skills, with the ability to translate technical challenges into business impact.

Nice to Have
  • Experience with ML frameworks like pytorch.

  • Experience with serving ML models and LLMs using frameworks like vllm.

  • Experience with developer-facing products and building intuitive APIs.

  • Stock Awards โ€“ We want you to share in our success with equity grants.

  • Comprehensive Healthcare โ€“ Medical, dental, and vision coverage for you and your dependents.*

  • Wellness Stipend โ€“ Support for your health and well-being, whether itโ€™s fitness programs or self-care.*

  • Lifelong Learning โ€“ An education stipend to help you grow and keep learning.

*Benefits may vary based on your country of employment.

This role is onsite at our Mountain View HQ, with the expectation to work from the office on a daily basis. As we are a global team, the position also requires flexibility to collaborate across international time zones.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.