2

Remote Provenance Research Jobs (NOW HIRING)

$101K - $138K/yr

... research and product development. You will help build the infrastructure behind large-scale data ... This role is fully remote-friendly, with team members distributed across the US and Canada.

$89K - $122K/yr

... research and product development. You will help build the infrastructure behind large-scale data ... This role is fully remote-friendly, with team members distributed across the US and Canada.

$86K - $118K/yr

... research and product development. You will help build the infrastructure behind large-scale data ... This role is fully remote-friendly, with team members distributed across the US and Canada.

$102K - $139K/yr

... research and product development. You will help build the infrastructure behind large-scale data ... This role is fully remote-friendly, with team members distributed across the US and Canada.

$105K - $144K/yr

... research and product development. You will help build the infrastructure behind large-scale data ... This role is fully remote-friendly, with team members distributed across the US and Canada.

next page

Showing results 1-20

Remote Provenance Research information

What are some common challenges faced by remote provenance researchers, and how can they be addressed?

Remote provenance researchers often encounter difficulties accessing physical archives or original documentation, which can slow down investigations. To address this, they rely heavily on digitized records, virtual collaboration tools, and networks of local contacts. Building strong relationships with museums, libraries, and experts worldwide can help overcome these barriers. Additionally, effective time management and clear communication with stakeholders are crucial for ensuring research progresses smoothly despite the remote nature of the role.

What are the key skills and qualifications needed to thrive as a Remote Provenance Researcher, and why are they important?

To thrive as a Remote Provenance Researcher, you need a background in art history, museum studies, or a related field, along with strong research and analytical skills. Familiarity with databases, digital archives, provenance research software, and sometimes languages relevant to historical documentation is typically required. Attention to detail, critical thinking, and strong written communication skills help you synthesize information and collaborate with institutions remotely. Mastering these skills ensures accurate documentation of artwork origins, supports ethical acquisitions, and upholds institutional and legal standards.

What is the difference between Remote Provenance Research vs Remote Archival Assistant?

AspectRemote Provenance ResearchRemote Archival Assistant
Required CredentialsHistory or Art History degree, research experienceLibrary Science or Archival Studies background, organizational skills
Work EnvironmentResearch-focused, analyzing provenance records, online databasesAssisting with archival cataloging, digitization, data entry
Employer & Industry UsageMuseums, auction houses, historical societiesArchives, libraries, cultural institutions
Search & Comparison IntentUnderstanding research scope, skills, and tasksClarifying support roles, administrative tasks

Remote Provenance Research involves analyzing and verifying the history of artworks or artifacts, requiring specialized research skills and historical knowledge. Remote Archival Assistants support archival management through data entry and digitization tasks. While both roles work remotely within cultural and historical sectors, provenance research is more research-intensive, whereas archival assistance focuses on organizational support.

What is remote provenance research?

Remote provenance research involves investigating the history and origins of objects, artworks, or artifacts from a distance, often using digital archives, databases, and online resources instead of in-person examinations. Researchers in this field typically work to verify the authenticity, ownership, and movement of items over time, which is critical for museums, collectors, and legal purposes. This approach has become increasingly important with advancements in technology and the need for global collaboration, allowing experts to access information and conduct thorough research without being physically present.
More about Remote Provenance Research jobs
What cities are hiring for Remote Provenance Research jobs? Cities with the most Remote Provenance Research job openings:
What are the most commonly searched types of Provenance Research jobs? The most popular types of Provenance Research jobs are:
What states have the most Remote Provenance Research jobs? States with the most job openings for Remote Provenance Research jobs include:
Infographic showing various Remote Provenance Research job openings in the United States as of June 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 100% Remote job distribution.
Senior Machine Engineer, ML Systems and Infrastructure

Senior Machine Engineer, ML Systems and Infrastructure

Autodesk

Atlanta, GA • Remote

$100K - $137K/yr

Other

Posted 9 days ago


Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

7th of 190 rated software companies


Job description

Job Requisition ID #

26WD98118

POSITION OVERVIEW

The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world to solve problems that matter.

Autodesk is seeking a Senior ML Engineer, ML Systems and Infrastructure to design and scale the systems that enable machine learning across research and product development. You will help build the infrastructure behind large-scale data pipelines, distributed training systems, evaluation frameworks, and production ML workflows that support foundation models and ML-powered product features.

This role is ideal for an engineer who is deeply interested in scalable systems and production-grade ML infrastructure. You will operate independently across multiple parts of the stack and help define strong engineering practices for reliability, performance, and maintainability.

This role is fully remote-friendly, with team members distributed across the US and Canada.

Location: US or Canada Remote, East Coast

RESPONSIBILITIES

  • Design and build scalable systems for ML training, evaluation, deployment, and monitoring

  • Develop and improve data pipelines that process large-scale structured and semi-structured technical datasets

  • Optimize distributed workflows for performance, reliability, resource utilization, and cost efficiency

  • Build platform capabilities such as experiment tracking, model versioning, checkpointing, reproducibility, and observability

  • Contribute to model deployment, inference services, and production monitoring workflows

  • Improve data quality, lineage, provenance, and operational transparency across ML pipelines

  • Contribute to architecture and design discussions across the team

  • Identify and resolve bottlenecks in data, compute, orchestration, and observability layers

  • Mentor engineers through code reviews, design guidance, and knowledge sharing

  • Collaborate closely with researchers, product engineers, and platform partners to turn ML workflows into robust engineering systems

MINIMUM QUALIFICATIONS

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent industry experience

  • At least 3 to 4 years of industry experience building and operating production software, ML systems, distributed infrastructure, or large-scale data pipelines

  • Strong experience in software engineering, distributed systems, backend systems, or ML infrastructure

  • Strong proficiency in Python and experience delivering production-quality systems

  • Experience designing and operating scalable data or compute pipelines

  • Experience with cloud platforms such as AWS, Azure, or GCP

  • Familiarity with containers, CI/CD, observability, and release quality practices

  • Ability to independently drive technical execution on complex work with limited oversight

PREFERRED QUALIFICATIONS

  • Experience building data pipelines for large-scale structured and semi-structured technical datasets

  • Experience with data lineage, provenance, governance, and responsible data usage in ML systems

  • Experience with distributed data processing and orchestration systems such as Ray, Airflow, Spark, or similar platforms

  • Experience with model deployment, inference services, monitoring, and observability for production ML systems

  • Experience building ML-ready representations for geometry, graph, hierarchical, or multimodal data

  • Experience with distributed ML frameworks such as PyTorch, Lightning, DeepSpeed, FSDP, Megatron, or similar

  • Familiarity with AEC workflows, design data, BIM/CAD formats, or Autodesk products

THE IDEAL CANDIDATE

  • Thinks like a systems engineer and executes like a strong software developer

  • Can balance short-term delivery with long-term platform health

  • Brings strong technical judgment and ownership

  • Improves team effectiveness through mentoring and engineering rigor

  • Enjoys solving scaling, performance, and reliability challenges

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers (Careers%20%3Ccareers@autodesk.com%3E) .


Autodesk logo

About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982