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Remote Senior Machine Learning Engineer Jobs in Hawaii

Intuit

Post Sales Solution Engineer

Honolulu, HI · Remote

$125K - $170K/yr

... Senior IC/Architecture for those who prefer solving the most complex technical puzzles ... Sacramento $125,500 - $170,000 California Remote (Bay Area) $133,000- $180,000 Colorado Remote $112 ...

Intuit

Post Sales Solution Engineer

Honolulu, HI · Remote

$125K - $170K/yr

... Senior IC/Architecture for those who prefer solving the most complex technical puzzles ... Sacramento $125,500 - $170,000 California Remote (Bay Area) $133,000- $180,000 Colorado Remote $112 ...

ABB

Strategic Segment Proposal Engineer

HI · Remote

This is a remote position. Candidates can be located anywhere in the US. This role is contributing ... Experience working with global and local cross functional teams and interacting with senior ...

SAIC

Future Concepts Developer

Pearl City, HI · Remote

$120K - $160K/yr

TS/SCI Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Future Concepts ... Engage with senior leaders and stakeholders to understand their specific needs and objectives.

ABB

Sr Product Marketing Specialist Indoor Products

HI · On-site +1

The ideal candidate would be located in Cary, NC or Lake Mary, FL and work a hybrid-remote schedule ... Bachelor's Degree in Electrical or Mechanical engineering strongly preferred. Candidates with other ...

Rimkus

Senior Consultant

Wailuku, HI · On-site +1

Join Rimkus and unlock your potential with endless opportunities for growth, learning, and making a difference! Rimkus (www.rimkus.com) is a worldwide leader in Engineering and Technical Consulting.

ABB

Service Sales Specialist

HI · Remote

... learning, and creative problem-solvingthat allows the right candidate to handle multiple work ... Remote {#LI-Remote}, this role provides support for the East Coast and will require East Coast ...

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Remote Senior Machine Learning Engineer information

How do Remote Senior Machine Learning Engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. Such compensation typically requires a strong educational background, a track record of impactful projects, and expertise in tools like TensorFlow or PyTorch.

What is the difference between Remote Senior Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

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

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

What does a Remote Senior Machine Learning Engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.

What engineers make $300,000 a year?

Senior machine learning engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in deep learning and data modeling, and work at large tech companies or in specialized industries. Compensation often includes base salary, bonuses, and stock options, particularly in high-demand markets.

Will MLE be replaced by AI?

As a Senior Machine Learning Engineer, the role involves designing, developing, and maintaining AI systems, which currently require human expertise. While AI tools can automate certain tasks, the need for skilled professionals to interpret data, ensure ethical use, and improve models remains essential. AI is more likely to augment rather than replace the responsibilities of MLEs in the foreseeable future.

What engineers make $200,000 a year?

Senior machine learning engineers often earn $200,000 or more annually, especially with extensive experience, advanced skills in deep learning and data modeling, and proficiency with tools like TensorFlow or PyTorch. Compensation can vary based on industry, location, and company size, with some roles in tech giants or specialized fields reaching or exceeding this level.
What are popular job titles related to Remote Senior Machine Learning Engineer jobs in Hawaii? For Remote Senior Machine Learning Engineer jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Remote Senior Machine Learning Engineer jobs in Hawaii look for? The top searched job categories for Remote Senior Machine Learning Engineer jobs in Hawaii are:
What cities in Hawaii are hiring for Remote Senior Machine Learning Engineer jobs? Cities in Hawaii with the most Remote Senior Machine Learning Engineer job openings:
Remote Senior Machine Learning Engineer jobs near you
Senior Clean Transportation Specialist - Remote

Senior Clean Transportation Specialist - Remote

ICF

Honolulu, HI • On-site, Remote

Full-time

Posted 6 days ago

Job description

Senior Clean Transportation Specialist

ICF is seeking a Senior Clean Transportation Specialistresponsible for leading and supporting projects that help government agencies develop and implement transportation decarbonization strategies. A successful candidate will help shape state, regional, and local policies that accelerate the transition to lower-carbon transportation systems through clean fuel programs, transportation electrification, renewable fuels, advanced vehicle technologies, and other emissions reduction strategies.

The position involves working with multidisciplinary teams to evaluate transportation decarbonization policies, conduct technical and economic analyses, develop regulatory recommendations, engage stakeholders, and provide trusted advisory services to government clients. Work will include evaluating low carbon fuel markets, renewable fuel pathways, transportation emissions, infrastructure needs, and technology deployment strategies, as well as developing reports, presentations, and policy recommendations that support regulatory development and program implementation.

The ideal candidate has experience working with clean fuel standards (such as California LCFS, Washington CFS, Oregon CFP, New Mexico CFS, or similar programs), renewable transportation fuels, transportation decarbonization policy, and transportation emissions analysis. The successful candidate will also have experience in one or more of the following areas:

  • Low Carbon Fuel Standard (LCFS) and Clean Fuel Standard (CFS) policy analysis

  • Renewable fuel market assessment and fuel supply analysis

  • Transportation decarbonization strategy development

  • Transportation emissions modeling and scenario analysis

  • Alternative fuel infrastructure planning

This is a remote position based in the United States. Candidates located anywhere in the U.S. are encouraged to apply, with a preference for individuals located on the West Coast to facilitate collaboration with clients and project teams.

Key Responsibilities

  • Lead transportation decarbonization studies for state, regional, and local government clients.

  • Support development of state Clean Fuel Standards, and related transportation policies.

  • Conduct quantitative analyses, scenario modeling, and market assessments for renewable fuels, electrification, hydrogen, sustainable aviation fuel, renewable diesel, renewable natural gas, and other low-carbon transportation technologies.

  • Analyze transportation emissions, fuel demand, fuel supply, technology adoption, and infrastructure needs.

  • Develop technical reports, policy memoranda, presentations, and regulatory support documents that clearly communicate complex technical findings.

  • Design and facilitate stakeholder engagement processes with government agencies, fuel suppliers, utilities, fleet operators, industry organizations, environmental groups, and other stakeholders.

  • Stay current on federal and state transportation decarbonization policies, renewable fuel markets, and emerging transportation technologies.

  • Support proposal development and business development activities.

  • Interact directly with clients while supervising and mentoring junior staff.

Minimum Qualifications

  • Bachelor's or Master's degree in engineering, environmental science, transportation, economics, public policy, energy, or a related field.

  • 5+ years of professional experience in transportation decarbonization, clean transportation policy, renewable fuels, transportation planning, or a related field.

  • Experience with Clean Fuel Standards, Low Carbon Fuel Standards, renewable fuel markets, or similar transportation decarbonization policies.

  • Experience conducting quantitative analysis, scenario modeling, or policy analysis.

  • Project management and client facing experience.

Preferred Skills/Experience

  • Experience supporting development or implementation of state or regional Clean Fuel Standard programs.

  • Knowledge of renewable diesel, biodiesel, sustainable aviation fuel, renewable natural gas, hydrogen, electricity, and other alternative transportation fuels.

  • Experience with transportation emissions modeling and greenhouse gas analysis.

  • Experience conducting economic, market, or regulatory analyses.

  • Familiarity with transportation energy markets and fuel supply chains.

  • Excellent written and verbal communication skills with the ability to communicate technical information to both technical and non-technical audiences.

  • Strong analytical and problem-solving skills.

  • Ability to manage multiple priorities and work effectively under deadlines.

Working at ICF

ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer.Together, our employees are empowered to share theirexpertiseand collaborate with others to achieve personal and professional goals. For more information, please read ourEEOpolicy.

We will consider for employment qualified applicants with arrest and conviction records.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals withsincerely heldreligious beliefs, in all phases of the application and employment process. To requestan accommodation,please emailCandidateaccommodation@icf.comand we will be happy toassist. All information you provide will be kept confidential and will be used only to the extentrequiredto provide needed reasonable accommodations.

Read more aboutworkplacediscriminationrightsor our benefit offerings which are included in theTransparency in (Benefits) CoverageAct.

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate orassistwith responses during interviews (whether in-person or virtual) is notpermitted. This policy is in place tomaintainthe integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodationthat involves the use of AI. Ifsuch anaccommodation is needed, candidates are instructed to contact us in advance atcandidateaccommodation@icf.com. Weare dedicated to providingthe necessary support to ensure that all candidates have an equal opportunity to succeed.


Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:

$74,090.00 - $125,954.00Nationwide Remote Office (US99)

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