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Remote Machine Learning Postdoc Jobs in Orem, UT

DataAnnotation

SDLC Engineer - AI Trainer

Provo, UT · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

QA Engineer - AI Trainer

Provo, UT · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Pattern

Talent Review Partner (Contractor)

Lehi, UT · Remote

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... This is a temporary, part-time contractor position that is fully remote and highly flexible.

Pattern

Talent Review Partner (Contractor)

Lehi, UT · Remote

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... This is a temporary, part-time contractor position that is fully remote and highly flexible.

Pattern

Talent Review Partner (Contractor)

Lehi, UT · On-site +1

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... This is a temporary, part-time contractor position that is fully remote and highly flexible.

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All JobsMachine Learning Postdoc JobsRemote Machine Learning Postdoc JobsRemote Machine Learning Postdoc Jobs in Orem, UT

Remote Machine Learning Postdoc information

Is ML a high paying job?

Machine learning postdoctoral positions are generally well-paid compared to many academic roles, with salaries often ranging from $60,000 to over $100,000 annually depending on experience, location, and funding. These roles typically require strong programming skills in Python or R and knowledge of algorithms and data analysis, which can contribute to higher compensation levels.

Is a PhD in ML worth it?

A PhD in machine learning can enhance qualifications for a remote machine learning postdoc position, often leading to higher-level research opportunities and increased earning potential. However, it requires significant time investment and may not be necessary for industry roles that value practical skills and experience with tools like Python and TensorFlow. The decision depends on career goals and the specific requirements of the desired position.

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

A Remote Machine Learning Postdoc requires a PhD in computer science, statistics, or a related field, with expertise in machine learning algorithms, statistical modeling, and research methodologies. Proficiency in programming languages like Python or R, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with version control systems (e.g., Git) are typically necessary. Strong written and verbal communication, self-motivation, and collaboration skills are vital for remote research and effective teamwork. These capabilities enable impactful independent research, smooth collaboration across distributed teams, and the successful dissemination of findings to the wider scientific community.

Is a postdoc harder than a PhD?

A remote machine learning postdoc typically involves more specialized research, higher expectations for independence, and often requires advanced skills in programming and data analysis. While a PhD focuses on completing a dissertation and gaining foundational expertise, a postdoc emphasizes producing publishable research and may involve longer hours and greater responsibility, making it generally more demanding in terms of research output and expertise. However, the difficulty varies based on individual experience and research environment.

What is a Remote Machine Learning Postdoc?

A Remote Machine Learning Postdoc is a postdoctoral researcher specializing in machine learning who works predominantly or entirely from a location outside their host institution, often from home. Their work involves conducting advanced research, developing new algorithms, analyzing data, and publishing findings related to machine learning while collaborating virtually with faculty and research teams. This role is ideal for researchers seeking flexibility or those who cannot relocate but wish to contribute to academic or industrial research from a distance.

Do you need H-1B for postdoc?

A remote machine learning postdoctoral position typically does not require H-1B sponsorship if the candidate is already authorized to work in the country, such as through a visa or citizenship. However, international candidates may need H-1B or other work visas depending on the employer and local immigration laws. Employers often sponsor visas for postdocs to comply with legal requirements and facilitate employment.

What are some common challenges faced by remote machine learning postdocs when collaborating with research teams?

Remote machine learning postdocs often encounter challenges related to communication and coordination, especially when working across different time zones or with teams that have varying schedules. Effective collaboration usually requires proactive communication through virtual meetings, shared code repositories, and regular progress updates. Building rapport with colleagues and staying engaged with ongoing research discussions can take extra effort remotely, but leveraging collaborative tools and participating in virtual seminars or group chats can help bridge the gap. Being organized and self-motivated is key to ensuring productive contributions to the team’s research objectives.
What are the most commonly searched types of Machine Learning Postdoc jobs in Orem, UT? The most popular types of Machine Learning Postdoc jobs in Orem, UT are:
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Remote Machine Learning Postdoc jobs near you
Senior Layout Extraction Engineer

Senior Layout Extraction Engineer

PDF Solutions

Midvale, UT • On-site, Remote

$120K - $160K/yr

Full-time

Posted 12 days ago

Job description

Overview

PDF is seeking an experienced Layout (FIRE) Extraction Engineer to join the DFI team, who is responsible for Apps Support. The Layout (FIRE) Extraction Engineer is an organized and highly motivated team player with strong initiative and communication skills and possesses the drive to deliver quality results on time in a dynamic, multi-disciplined, intensive and highly productive small team environment.


Responsibilities

1. Running Layout (FIRE) Extraction on client site to support onsite inspection application development.

2. Remote support Layout (FIRE) Extraction for the R&D and Demo Application development.


Qualifications

Bachelor’s Degree or higher in electrical engineering. Degrees, such as statistics or IT-related discipline may work, depending on work experience.

Skill Set

o Core Technology & Knowledge

· Theoretical and practical experience in OPC/RET (Resolution Enhancement Technology)

· Comprehensive understanding of CMOS process flow

· Knowledge of mask fabrication and design rules (DRC)

o Software/Tool Proficiency

· Experience with OPC/Mask simulation tools:

· Mentor Graphics Calibre OPC/ILT

· Synopsys Sentaurus/Litho

· ASML Brion Tachyon

· Layout processing tools:

· Cadence, Synopsys, or KLayout

· Scripting & Programming:

· Hands-on experience with Linux

· Python, Perl, Tcl, Shell scripting

· Experience in large-scale data processing and automation

o Algorithm & Data Processing Skills

· Understanding of pattern matching, shape transformation, and data optimization

· Experience in OPC optimization using Machine Learning / AI (preferred)

o Analytical & Problem-Solving Skills

· Analysis and improvement of discrepancies between layout and actual pattern

· Experience analyzing SEM/E-beam inspection data

· Experience optimizing process window (PW) and depth of focus (DOF)

o Collaboration & Work Skills

· Experience collaborating with Design, Lithography, and Fab Process teams

· Experience modifying and optimizing designs based on customer/internal feedback

· Ability to read and understand English technical papers/datasheets and write reports


Pay Range
USD $120,000.00 - USD $160,000.00 /Yr.Qualifications:

Bachelor’s Degree or higher in electrical engineering. Degrees, such as statistics or IT-related discipline may work, depending on work experience.

Skill Set

o Core Technology & Knowledge

· Theoretical and practical experience in OPC/RET (Resolution Enhancement Technology)

· Comprehensive understanding of CMOS process flow

· Knowledge of mask fabrication and design rules (DRC)

o Software/Tool Proficiency

· Experience with OPC/Mask simulation tools:

· Mentor Graphics Calibre OPC/ILT

· Synopsys Sentaurus/Litho

· ASML Brion Tachyon

· Layout processing tools:

· Cadence, Synopsys, or KLayout

· Scripting & Programming:

· Hands-on experience with Linux

· Python, Perl, Tcl, Shell scripting

· Experience in large-scale data processing and automation

o Algorithm & Data Processing Skills

· Understanding of pattern matching, shape transformation, and data optimization

· Experience in OPC optimization using Machine Learning / AI (preferred)

o Analytical & Problem-Solving Skills

· Analysis and improvement of discrepancies between layout and actual pattern

· Experience analyzing SEM/E-beam inspection data

· Experience optimizing process window (PW) and depth of focus (DOF)

o Collaboration & Work Skills

· Experience collaborating with Design, Lithography, and Fab Process teams

· Experience modifying and optimizing designs based on customer/internal feedback

· Ability to read and understand English technical papers/datasheets and write reports

Education:UNAVAILABLEEmployment Type: FULL_TIME

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