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Weekend Machine Learning Postdoc Jobs in Richland, WA

The Grain Operator I performs basic grain-handling work while learning how the facility operates ... Ability to follow procedures, ask questions, and work safely around machinery. * Ability to learn ...

Millwright

Pasco, WA · On-site

$59K - $88K/yr

Hands-on experience with installation, alignment, and repair of industrial machinery (conveyors ... Receptive to direction and feedback; applies learning quickly in the field * Detail-oriented in ...

Millwright

Pasco, WA

$59K - $88K/yr

Hands-on experience with installation, alignment, and repair of industrial machinery (conveyors ... Receptive to direction and feedback; applies learning quickly in the field * Detail-oriented in ...

Hands-on experience with installation, alignment, and repair of industrial machinery (conveyors ... Receptive to direction and feedback; applies learning quickly in the field * Detail-oriented in ...

Maintenance Technician

Richland, WA · On-site

$19.90 - $33.61/hr

Install, maintain, and repair machinery, equipment, physical structures, plumbing, and electrical ... Ability to work a flexible work schedule and shift, including weekends if needed * Some locations ...

... weekends, and deployments. Pathways, Training & Advancement Recruit Training followed by rating ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

... weekends, and deployments. Pathways, Training & Advancement Recruit Training followed by rating ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

... weekends, and deployments. Pathways, Training & Advancement Recruit Training followed by rating ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

... weekends, and deployments. Pathways, Training & Advancement Recruit Training followed by rating ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

... weekends, and deployments. Pathways, Training & Advancement Recruit Training followed by rating ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

Weekend Machine Learning Postdoc information

What is the difference between Weekend Machine Learning Postdoc vs Weekend Data Scientist?

AspectWeekend Machine Learning PostdocWeekend Data Scientist
Required CredentialsPhD in Computer Science, Machine Learning, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentAcademic research settings, universities, research labsIndustry companies, startups, consulting firms
Employer & Industry UsageResearch institutions, universities, academic grantsTech companies, finance, healthcare, retail
Common Search & ComparisonYesYes

The Weekend Machine Learning Postdoc typically involves academic research with a focus on advancing machine learning theories and models, often requiring a PhD. In contrast, a Weekend Data Scientist applies data analysis and machine learning techniques in industry settings, often with a bachelor's or master's degree. Both roles may work on similar projects but differ mainly in their environment, credentials, and end goals.

What are the typical projects and collaboration opportunities for a Weekend Machine Learning Postdoc?

As a Weekend Machine Learning Postdoc, you will often contribute to ongoing research projects, developing and refining machine learning models in collaboration with faculty, graduate students, and occasionally industry partners. While your hours are concentrated on weekends, you’ll typically participate in regular research meetings, code reviews, and may co-author papers or grant proposals. The role provides opportunities to mentor junior researchers and expand your expertise by working on interdisciplinary teams. This structure allows you to make significant research contributions while maintaining flexibility in your schedule.

What is a Weekend Machine Learning Postdoc?

A Weekend Machine Learning Postdoc is a postdoctoral researcher who focuses on machine learning projects and typically works on weekends or has a flexible schedule that includes weekend hours. This role often involves conducting advanced research in machine learning, developing algorithms, publishing papers, and collaborating with academic or industry teams. Weekend postdoc positions may be ideal for those balancing other commitments or seeking non-traditional work hours while continuing their research careers.

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

To thrive as a Weekend Machine Learning Postdoc, you need a strong background in machine learning, statistics, and programming, typically supported by a PhD in a relevant field. Experience with tools such as Python, TensorFlow, PyTorch, and data analysis platforms, as well as familiarity with academic research methodologies, is essential. Exceptional problem-solving abilities, self-motivation, and effective communication are vital soft skills for success in research and collaboration. These skills enable you to drive innovative research, efficiently manage independent projects, and contribute meaningful insights to the field.
What job categories do people searching Weekend Machine Learning Postdoc jobs in Richland, WA look for? The top searched job categories for Weekend Machine Learning Postdoc jobs in Richland, WA are:

Post Doctorate RA - Battery Materials & Systems

Pacific Northwest National Laboratory

Richland, WA • On-site

$69K/yr

Temporary

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Overview
At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget.
Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus.
The Energy and Environment Directorate delivers science and technology solutions for the nation's biggest energy and environmental challenges. Our more than 1,700 staff support the Department of Energy (DOE), delivering on key DOE mission areas including: modernizing our nation's power grid to maintain a reliable, affordable, secure, and resilient electricity delivery infrastructure; research, development, validation, and effective utilization of renewable energy and efficiency technologies that improve the affordability, reliability, resiliency, and security of the American energy system; and resolving complex issues in nuclear science, energy, and environmental management.
The Energy Processes and Materials Division, part of the Energy and Environment Directorate, creates and delivers real world solutions that support the Department of Energy's goals for national energy security. We deliver new technologies that connect fundamental science to applications in areas such as energy storage, advanced materials manufacturing, applied catalysis, advanced separations, biomass conversions, carbon capture and utilization, and hydrogen production and storage. We employ a systems perspective that includes discovery, technology development, and scale-up as well as economic, regulatory, and market acceptance issues necessary for successful technology commercialization.
Responsibilities
The Battery Materials & Systems Group within the Energy and Environment Directorate seeks an outstanding postdoctoral research scientist with a strong background in inorganic synthesis, materials science, and electrochemistry. This position is for an inorganic chemist, materials scientist, or electrochemist with hands-on experience in the design, synthesis, and characterization of electrochemical materials for energy conversion.
The primary focus of this role is to drive innovative research within a growing team of scientists and engineers developing advanced electrocatalysts, inorganic proton conducting membranes, and other functional materials for fuel cells, electrochemical CO2 reduction, and related electrochemical energy conversion systems. The successful candidate will work collaboratively across interrelated projects, focusing on the rational design of inorganic materials-such as platinum-group-metal and non-precious-metal catalysts, mixed-metal oxides, and nanostructured composites-to enhance activity, selectivity, and durability under operating conditions.
Project work will include the synthesis and advanced characterization of inorganic electrochemical materials (e.g., XRD, XPS, electron microscopy, and electrochemical methods), as well as systematic evaluation of their performance in half-cell and full-cell configurations. The successful candidate will be responsible for catalyst and/or inorganic proton membrane development from materials discovery through electrode fabrication, membrane-electrode assembly integration, and device-level testing, in coordination with senior scientists and the project manager.
Additionally, the candidate will have opportunities to leverage automated and high-throughput experimental workflows-including robotic synthesis platforms, automated electrochemical test stations, and machine-learning-guided experimental design-to accelerate materials discovery and optimization. They will also prepare manuscripts for publication, present their work internally and externally at national/international conferences, and develop new ideas for funded research.
Qualifications
Minimum Qualifications:
  • Candidates must have received a PhD within the past five years (60 months) or within the next 8 months from an accredited college or university.

Preferred Qualifications:
  • Ph.D. in electrochemistry, chemistry, materials science, chemical engineering, or other related fields.
  • Experience with the design and synthesis of inorganic catalytic and functional materials.
  • Problem-solving skills based on a thorough understanding of electrochemistry and the ability to work safely and independently under supervision. Experience working with ceramic materials or mixed electronic and ionic conductors is a plus.
  • Expertise in evaluating complex charge transport mechanisms, such as mixed conduction or specialized ion conductivity.
  • Experience with laboratory automation, high-throughput experimentation, or programming (e.g., Python) for instrument control and data analysis is a plus.
  • Passion for publication to disseminate the research findings. Strong publication record is a plus.

Hazardous Working Conditions/Environment
Not applcable.
Testing Designated Position
This is not a Testing Designated Position.
About PNNL
Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!
At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.
Commitment to Excellence and Equal Employment Opportunity
Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer.
Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws.
We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at careers@pnnl.gov.
Drug Free Workplace
PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs.
If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug. If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn.
Security, Credentialing, and Eligibility Requirements
As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.
For foreign national candidates:
If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential.
Mandatory Requirements
Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.
Rockstar Rewards
Employees and their families are offered medical insurance, dental insurance, vision insurance, robust telehealth care options, several mental health benefits, free wellness coaching, health savings account, flexible spending accounts, basic life insurance, disability insurance*, employee assistance program, business travel insurance, tuition assistance, relocation, backup childcare, legal benefits, supplemental parental bonding leave, surrogacy and adoption assistance, and fertility support. Employees are automatically enrolled in our company-funded pension plan* and may enroll in our 401 (k) savings plan with company match*. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year.
* Research Associates excluded.
**All benefits are dependent upon eligibility.
Click Here For Rockstar Rewards
Notice to Applicants
PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules.
As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position.
Minimum Salary
USD $69,000.00/Yr.
Maximum Salary
USD $119,100.00/Yr.

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About Pacific Northwest National Laboratory

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Pacific Northwest National Laboratory (PNNL) is a premier research institution based in Richland, Washington, US. Operated by Battelle Memorial Institute under contract to the US Department of Energy (DOE), it is one of the DOE's seventeen national laboratories. PNNL primarily specializes in fields such as environmental science, energy, nuclear science, and national security. Founded in 1965, the lab has since been committed to its core values of integrity, creativity, collaboration, impact, and courage. Their mission is "to transform the world through courageous discovery and innovation." Notable achievements include significant contributions to projects like the Human Genome Project and the development of grid-friendly appliances.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Richland, WA, US

Year founded

1965