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Remote Machine Learning Engineer Jobs in Boise, ID

InfluxData

Director of Finance

Boise, ID · Remote

$180K - $230K/yr

Developers can query and analyze their time-stamped data in real-time to discover, interpret, and ... InfluxData is a remote-first company with a globally distributed workforce. For more information ...

Intuit

Mid-Market Account Executive

Boise, ID · Remote

... Engineers, Services Specialists, CSMs, and Renewal Consultants, ensuring the customer is at the ... Continuous Learning: You stay current on financial and technology trends, product evolution, and ...

Intuit

Mid-Market Account Executive

Boise, ID · Remote

... Engineers, Services Specialists, CSMs, and Renewal Consultants, ensuring the customer is at the ... Continuous Learning: You stay current on financial and technology trends, product evolution, and ...

Intuit

Mid-Market Account Executive

Boise, ID · Remote

... Engineers, Services Specialists, CSMs, and Renewal Consultants, ensuring the customer is at the ... Continuous Learning: You stay current on financial and technology trends, product evolution, and ...

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All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Boise, ID

Remote Machine Learning Engineer information

See Boise, ID salary details

$30K

$122.6K

$184.2K

How much do remote machine learning engineer jobs pay per year?

As of Jul 24, 2026, the average yearly pay for remote machine learning engineer in Boise, ID is $122,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,600.00 and $147,500.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often reflects expertise, leadership roles, or working in competitive industries such as tech or finance, especially in organizations valuing AI development.

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role is unlikely to be fully replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing MLEs to focus on complex problem-solving, model optimization, and system integration. Continuous learning and expertise in programming, data handling, and model evaluation remain essential for MLEs in an evolving AI landscape.

What are the key skills and qualifications needed to thrive in the Remote Machine Learning Engineer position, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, or PyTorch. Remote work arrangements depend on the employer's policies and the specific project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.
What are popular job titles related to Remote Machine Learning Engineer jobs in Boise, ID? For Remote Machine Learning Engineer jobs in Boise, ID, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer jobs in Boise, ID look for? The top searched job categories for Remote Machine Learning Engineer jobs in Boise, ID are:
Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Boise, ID as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $122,560 per year, or $58.9 per hour.
Director of Finance

Director of Finance

InfluxData

Boise, ID • Remote

$180K - $230K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 14 days ago

Job description

InfluxData is the creator of InfluxDB, the leading time series platform used to collect, store, and analyze all time series data at any scale. Developers can query and analyze their time-stamped data in real-time to discover, interpret, and share new insights to gain a competitive edge. InfluxData is a remote-first company with a globally distributed workforce. For more information, visit www.influxdata.com.

We are looking for a stellar Director of Finance to join our team! Reporting directly to the CFO, you will own the FP&A function and play an important role in shaping the company’s financial strategy. This is a high-impact position for a strategic thinker who is not afraid to "roll up their sleeves." You will be the bridge between financial data and executive strategy, ensuring our plans and investments are both strategic and sustainable.

What you'll be doing

  • Financial Planning: Lead the annual budgeting and rolling forecast processes, delivering clear, data-driven insights to the CFO and the Board. Drive predictability, accountability, and strategic alignment across the organization;

  • Business Partnership: Serve as a trusted advisor to the leadership team. You won't just report numbers; you'll provide the "why" behind them to influence business decisions;

  • FinOps & Cloud Infrastructure: Serve as the financial lead for cloud spend, partnering with Engineering and Cloud Operations to analyze cost drivers, drive optimization initiatives, manage cloud vendor contracts, and secure optimal commercial terms to improve gross margin;

  • Revenue Operations: Serve as a key partner to Sales on deal strategy and governance, guiding pricing and negotiations, approving deals, and optimizing for revenue quality and margin. Collaborate with Sales Leadership to design incentive-aligned compensation plans, review quotas, and drive insights on sales productivity;

  • Business Intelligence & KPIs: Develop and maintain sophisticated dashboards tracking core business KPIs and performance metrics, driving clarity on unit economics and operational efficiency;

  • AI & Finance Analytics: Leverage AI and advanced analytics to improve forecasting, automate workflows, and drive scalable, insight-driven finance operations;

  • Executive Support: Support the CFO in high-stakes projects, including Board materials, executive QBR presentations, investor reporting and vendor contract management.

What we’re looking for

  • Bachelor’s degree in Finance, Accounting, or Business. An MBA or CFA is preferred;

  • 15+ years of progressive experience in FP&A and Finance Operations within both private and public company settings;

  • Strong working knowledge of AWS, GCP, or Azure pricing models and services, with a clear understanding of how infrastructure and architecture decisions impact COGS and margins;

  • Highly detail-oriented with a track record of building accurate, scalable financial models and ensuring data integrity across complex datasets;

  • Experience applying AI-driven insights and advanced analytics to streamline financial planning, reporting, and data analysis processes, improving efficiency and decision-making;

  • A proven ability to "think big" regarding strategy while "diving deep" into the granular details of a dynamic, fast-paced environment;

  • Superior interpersonal skills with the ability to translate complex financial data into actionable narratives for non-finance stakeholders, with a proven track record of partnering effectively with Sales teams.

Applications will be accepted on a rolling basis.

Interview Information:

Our interview process begins remotely. Interviews are typically conducted via Zoom. To ensure every candidate can participate, please let us know if you are unable to access Zoom. Some roles may require an in-person meeting with a team member as part of the final stage.

We offer fantastic benefits for full time employees; in the US these include:

  • Medical/dental/vision insurance with 100% coverage for employees

  • Company contribution to your FSA

  • Flexible Time Off - take the time you need

  • Life Insurance, short and long term disability insurance

  • 401(k)

  • Wellness programs

  • Annual professional development budget

  • Financial planning and legal advice

Our Core Values

Our employees are the heart of the company and only by having a core set of beliefs and values will we be successful. We hire and live by these core values:

  • We value each other

  • We get stuff done

  • We believe humility drives learning

  • We embrace failure

  • We are committed to open source

Visit our careers page to learn more about working at InfluxData.

InfluxData is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other categories protected by applicable law. 

To view our Know Your Rights Poster click HERE

To view our CCPA policies click HERE

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access this website to apply for a vacancy as a result of your disability. You can request reasonable accommodations by reaching out to the recruiting team by emailing apply@influxdata.com. 

InfluxData does not accept unsolicited resumes from headhunters and recruitment agencies through our website, job board or directly to employees. InfluxData will not pay fees to any third-party agency, headhunter or company that does not have a signed agreement for this position in place.

Beware of job scams and fraudulent offers! Our recruiters use @influxdata.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software other than Zoom, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank accounts or social security numbers. If you have been contacted by someone claiming to be from InfluxData from a different domain about a job offer, please report it as potential job fraud to law enforcement and to jobs@influxdata.com.

Compensation Range: $180K - $230K