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Arc Group Worldwide Jobs (NOW HIRING)

Arc XP

Enterprise Field Marketing Manager

Washington, DC · On-site

Developed by The Washington Post, Arc XP is used by leading media organizations worldwide, including The Irish Times, Libération, L'Express, RND, Graham Media Group, and Sky News. Arc XP's platform ...

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GEA Group

Welder I

York, PA · On-site

$21 - $28/hr

GEA Group, founded in Germany in 1881, is a global leader in engineering solutions, serving ... With over 18,000 employees worldwide and a strong U.S. presence since 1929, GEA combines the ...

Mitsubishi Heavy Industries Group

Welder

New London, OH

$17.50 - $23/hr

Come join the 7,000 employees worldwide working at Primetals Technologies, a Group Company of ... Under general supervision, uses hand welding and flame cutting equipment such as arc welders, gas ...

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Arc Group Worldwide information

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How much do arc group worldwide jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for arc group worldwide in the United States is $21.44, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $24.28 per hour, depending on experience, location, and employer.

What is Arc Group Worldwide?

Arc Group Worldwide is a global advanced manufacturing company specializing in metal injection molding (MIM), 3D printing, precision metal stamping, and other advanced manufacturing processes. They provide manufacturing solutions for industries such as automotive, aerospace, medical, and defense. The company focuses on delivering high-quality, complex metal components, leveraging cutting-edge technologies and engineering expertise. Their capabilities help clients reduce costs, speed up product development, and improve product performance.

What collaborative opportunities can employees expect when working at Arc Group Worldwide?

At Arc Group Worldwide, employees often work in cross-functional teams that include engineering, production, and quality assurance professionals. Collaboration is integral to the company's workflow, especially when developing advanced manufacturing solutions or implementing new technologies. Team members regularly participate in problem-solving meetings, project planning sessions, and continuous improvement initiatives. This collaborative structure not only enhances individual skills but also fosters a sense of shared achievement and opens up opportunities for career development within the organization.

What are the key skills and qualifications needed to thrive as an employee at Arc Group Worldwide, and why are they important?

To thrive at Arc Group Worldwide, strong technical abilities in manufacturing processes, quality control, and engineering principles are essential, often supported by relevant degrees or technical certifications. Familiarity with advanced manufacturing tools such as metal injection molding (MIM) machinery, CAD software, and ERP systems is typically required. Attention to detail, problem-solving, and effective teamwork stand out as valuable soft skills. These competencies ensure efficient production, high-quality output, and smooth collaboration in a high-tech manufacturing environment.

What is the difference between Arc Group Worldwide vs Machinist?

AspectArc Group WorldwideMachinist
Required CredentialsHigh school diploma or equivalent; technical certificationsHigh school diploma; technical training or apprenticeship
Work EnvironmentManufacturing facilities, aerospace, and industrial sectorsMachine shops, manufacturing plants, metalworking environments
Industry UsageUsed in aerospace, defense, and industrial manufacturingCommonly employed in metalworking and precision machining

Both roles involve manufacturing and technical skills, but Arc Group Worldwide typically focuses on specialized manufacturing projects in aerospace and industrial sectors, often requiring certifications. Machinists are skilled tradespeople working directly with machine tools in metalworking environments. Understanding these differences helps job seekers identify the right opportunities based on credentials and work environment.

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What states have the most Arc Group Worldwide jobs?

States with the most job openings for Arc Group Worldwide jobs include:

What job categories do people searching Arc Group Worldwide jobs look for?

The top searched job categories for Arc Group Worldwide jobs are:

Arc Group Worldwide jobs near you
Infographic showing various Arc Group Worldwide job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $44,586 per year, or $21.4 per hour.

Director, Machine Learning, Virtual Cell Initiative

Arc Institute

Palo Alto, CA • On-site, Remote

$380K - $420K/yr

Full-time

Re-posted 25 days ago

Job description

About Arc Institute
Arc Institute is an independent nonprofit research organization at the interface of artificial intelligence and biology, working to accelerate scientific progress and understand the root causes of complex diseases. Founded in 2021 and based in Palo Alto, Arc partners with Stanford University, UC Berkeley, and UC San Francisco.
Unlike academia, our scientists have long-term funding and industry-like resources. Unlike industry, they're free to pursue high-risk, long-term research without commercial pressures. Arc's Technology Centers and Core Investigator labs work side by side, integrating experimental and computational biology under one roof to tackle problems neither could solve alone.
Our two Institute Initiatives reflect this model in action:
  • Virtual Cell Initiative: Building a full-stack virtual cell model to identify disease mechanisms and nominate drug targets, accelerating the path from biological insight to clinical trials.
  • Alzheimer's Disease Initiative: Mapping the genes, pathways, and environmental factors behind Alzheimer's disease to develop drug candidates that address root causes.

More than 300 Arconauts work together at our Palo Alto headquarters, backed by substantial long-term philanthropic funding.
Why this position could be the best job you've ever had?
  • Work at the center of AIxBio with the potential to revolutionize drug discovery for the world.
  • Work in a unique environment that incorporates both wet lab data generation and frontier AI modelling in an active learning loop.
  • Join a new type of research org that fuses high-velocity execution of a startup with the intellectual rigor of a world-class academic institute, with a long runway to tackle some of the hardest - and highest potential - challenges in science today.
  • Collaborate with some of the most accomplished scientists and entrepreneurs in the world.

About the position
We are searching for an innovative scientific leader experienced in building predictive models based on single-cell genomic data. The chosen candidate will spearhead the development and application of advanced machine learning models tailored for perturbative gene expression modeling, in the context of Arc's virtual cell initiative.
About you
  • You are passionate about machine learning, ideally with experience or strong interest in biology and single-cell genomics.
  • You want to develop highly innovative and accurate biology-inspired multimodal machine learning models.
  • You are excited about collaborating with a multidisciplinary team of computational and experimental biologists at Arc.
  • You are a strong communicator, capable of translating complex technical concepts at the intersection of machine learning and biology.
  • You are a continuous learner.
  • You are interested in recruiting and managing your own group of scientists and engineers as well as mentoring and training for other scientists.

In this position you will
  • Lead/build a team of 6 ML research scientists and engineers augmented with undergrad/masters/PhD students to contribute to the development of a state-of-the-art foundation model and agentic framework for understanding how cells respond to perturbations.
  • Work in an active learning loop with Arc's wet lab scientists to shape the world's largest and most diverse set of single cell training data across many cell contexts.
  • Collaborate closely with other research groups to integrate genomics, functional track,and omics data more broadly beyond scRNA-seq data and Perturb-seq
  • Stay up to date on the latest in frontier ML research and pioneer new architectures and approaches.
  • The ultimate goal is to build a high utility virtual cell model for use by biologists worldwide. We publish our breakthroughs to widely accelerate scientific progress and partner with some of the biggest names in AI.
  • Commit to a collaborative and inclusive team environment, sharing expertise and mentoring others.
  • Attract the very best talent in the world to support VCI initiative goals

Requirements
  • PhD in Computational Biology, Bioinformatics, Machine Learning, or a related field.
  • Minimum of 5 years of experience working in/with machine learning, well versed in frameworks such as Pytorch, TensorFlow, JAX, etc.
  • Proven experience leading research teams in a fast paced, multi-disciplinary environment.
  • Experience with or strong interest in biology with ability to communicate and collaborate successfully with biologists and pure ML engineers.
  • Excellent communication skills, both written and verbal, with a strong track record of presentations and publications.

The base salary range for this position is $380,000-$420,000. These amounts reflect the range of base salary that the Institute reasonably would expect to pay a new hire or internal candidate for this position. The actual base compensation paid to any individual for this position may vary depending on factors such as experience, market conditions, education/training, skill level, and whether the compensation is internally equitable, and does not include bonuses, commissions, differential pay, other forms of compensation, or benefits. This position is also eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors.

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