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Remote Embedded Machine Learning Jobs in Santa Fe, TX

Imubit is looking for a top-notch Financial Controller to help disrupt the manufacturing world with breakthrough machine learning technologies. This role is open to remote candidates in the US.

Our platform uses AI and machine learning to orchestrate connectivity across satellite, terrestrial ... We are headquartered in the greater Miami region, with remote teams spanning the U.S., Europe, and ...

Our platform uses AI and machine learning to orchestrate connectivity across satellite, terrestrial ... We are headquartered in the greater Miami region, with remote teams spanning the U.S., Europe, and ...

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Remote Embedded Machine Learning information

See Santa Fe, TX salary details

$63.3K

$138.6K

$157.2K

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

As of Jul 15, 2026, the average yearly pay for remote embedded machine learning in Santa Fe, TX is $138,606.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,800.00 and $156,300.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer science, electrical engineering, or related fields. Familiarity with microcontrollers, edge AI frameworks (such as TensorFlow Lite or Edge Impulse), and version control systems is typically required. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for collaborating remotely and troubleshooting complex issues. These skills ensure successful deployment of intelligent solutions on resource-constrained devices and effective teamwork in distributed environments.

What is a Remote Embedded Machine Learning Engineer?

A Remote Embedded Machine Learning Engineer is a professional who develops and deploys machine learning models on embedded systems like microcontrollers, IoT devices, and edge hardware, all while working remotely. Their work involves optimizing algorithms to run efficiently on devices with limited computing power, memory, and battery life. These engineers typically use frameworks such as TensorFlow Lite or TinyML to design intelligent features that operate directly on hardware, enabling real-time decision-making without relying heavily on cloud connectivity. They collaborate with cross-functional teams and often troubleshoot both software and hardware issues from a remote location.

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

AspectRemote Embedded Machine LearningRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; experience with embedded systems and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and ML algorithms
Work EnvironmentEmbedded hardware devices, IoT systems, real-time processing environmentsCloud platforms, data analysis labs, remote offices
Employer & Industry UsageTech companies, IoT device manufacturers, automotive, roboticsFinance, healthcare, marketing, tech firms

Remote Embedded Machine Learning specialists focus on integrating ML models into embedded hardware for real-time applications, often working with IoT and robotics. In contrast, Remote Data Scientists analyze large datasets to extract insights, primarily working in cloud or office environments. Both roles require strong analytical skills but differ in technical focus and work settings.

What are some common challenges faced by Remote Embedded Machine Learning Engineers, and how can they be addressed?

Remote Embedded Machine Learning Engineers often encounter challenges related to hardware access, debugging embedded devices remotely, and collaborating with cross-functional teams across time zones. To address these, it's important to set up robust remote development environments, use simulation tools when physical hardware isn't available, and establish clear communication channels for effective teamwork. Regular virtual meetings and detailed documentation also help ensure alignment and smooth progress, despite the remote nature of the work.
What are popular job titles related to Remote Embedded Machine Learning jobs in Santa Fe, TX? For Remote Embedded Machine Learning jobs in Santa Fe, TX, the most frequently searched job titles are:
What cities near Santa Fe, TX are hiring for Remote Embedded Machine Learning jobs? Cities near Santa Fe, TX with the most Remote Embedded Machine Learning job openings:
Financial Controller

Financial Controller

Imubit

Houston, TX • On-site, Remote

Full-time

Posted 12 days ago


Job description

TL;DR:
Imubit is looking for a top-notch Financial Controller to help disrupt the manufacturing world with breakthrough machine learning technologies.
This role is open to remote candidates in the US. Preference is for Hybrid in Houston. If outside of Houston, the expectation is 15-20% of travel to the office in Houston.
About us:
Imubit is redefining how industrial companies around the world adopt and scale enterprise AI, adding millions of dollars to plant bottom lines while operating safely within constraints related to energy efficiency and sustainability.
Our AI platform supports real-time optimization across complex, nonlinear industrial systems, enabling both autonomous and guided decision-making in live production environments. Fortune 500 companies rely on Imubit to continuously improve profitability and sustainability across their most valuable assets.
Backed by Insight Partners, Imubit brings together deep domain expertise from companies such as Exxon and Shell with leading AI talent from Google and other top innovators. With teams across the United States and a growing international presence, Imubit is transforming operational optimization across industries ranging from refining and aromatics to polymers and LNG liquefaction.
We are looking for:
You, a resourceful, hands-on, and highly knowledgeable Financial Controller, having extensive experience working with venture-backed startups across various growth stages. Passionate about connecting financial data with strategic decision-making, you thrive in dynamic environments where you can deeply understand business goals while thinking big.
As a self-motivated leader, you seek to be a key player in a pioneering, fast-growing team that is building process optimization software years ahead of its competition. You excel at multitasking, executing quickly, and delivering results in a fast-changing landscape.
Beyond crunching numbers, you enjoy collaborating with great people, learning new domains, and driving impact across the business. You recognize a once-in-a-career opportunity-and you seize it.
In this position, you will:
  • Strategic Financial Leadership - Work closely with the head of finance to support and drive Imubit's business financial strategy of profitability and sustainable growth.
  • Financial Planning & Analysis (FP&A) - Analyze, plan, and manage annual budgets, forecasts, and financial models to ensure profitability.
  • Process Optimization - Continuously evaluate and enhance financial processes to improve efficiency, scalability, and operational performance.
  • Financial Reporting & Operations - Lead financial reporting, accounting, and finance operations to ensure accuracy, compliance, and transparency.
  • Accounting & Compliance - Oversee high-level accounting activities, ensuring compliance with local, state, and federal tax laws and financial regulations.
  • Global Financial Management - Manage and optimize relationships with worldwide financial service providers, including bookkeeping, auditing, and payroll, aligning their performance with company objectives.
  • Regulatory & Tax Compliance - Ensure timely and accurate tax filings, reporting, and adherence to all applicable financial regulations.

Qualifications:
  • Bachelor's degree in Accounting, Finance, or related field; CPA or CA preferred
  • Minimum 5 years of progressive Accounting and Finance experience
  • 2 years as a prior Controller within a SaaS or technology-driven organization
  • Strong foundation in GAAP accounting, financial reporting, and tax compliance
  • Expertise in SaaS revenue recognition (ASC 606), multi-entity consolidation, and subscription billing models
  • Experience with NetSuite and process automation
  • Experience scaling financial operations in a high-growth environment
  • Exposure to Board reporting

Skills & Abilities:
  • Strong understanding of subscription-based accounting and revenue recognition rules under ASC 606.
  • Ability to manage deferred revenue, recognize contract revenue, and handle multi-element arrangements.
  • Experience in preparing GAAP-compliant financial statements and managing audits.
  • Eagerness to remediate audit findings.
  • Ability to partner cross-departmentally to provide actionable insights on unit economics, LTV, CAC, and ARR/MRR trends.
  • Experience in forecasting and budgeting to support strategic decisions.
  • Proficiency in ERP and financial software (NetSuite).
  • Experience implementing automation for financial processes (billing, reconciliations, reporting).
  • Knowledge of recurring revenue models, pricing strategies, and contract complexities.
  • Proven ability to establish financial controls and governance frameworks.
  • Experience mitigating financial risks related to revenue leakage, fraud, or compliance gaps.
  • Ability to prepare financials for investors, lenders, and board members.
  • Experience consolidating financials across multiple subsidiaries, currencies, and tax jurisdictions.
  • Proficiency in intercompany eliminations and multi-currency reporting
  • Strong understanding of corporate tax compliance, SaaS sales tax
  • Ability to work with external tax advisors on transfer pricing, tax planning, and cross-border tax compliance.
  • Expertise in month-end close, reconciliations, journal entries, and financial controls.
  • Ability to streamline and optimize financial operations for efficiency and accuracy.
  • Strong oversight of AP, AR, payroll, expense management, and general ledger maintenance.

Imubit provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Imubit complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Imubit does not accept or retain unsolicited CVs or phone calls and/or respond to them or to any third party representing job seekers.
No visa sponsorship is available for this position.