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Remote Machine Learning Compiler Engineer Jobs in Orange Beach, AL

Senior Transmission Line Engineer

Pensacola, FL ยท On-site +1

$73K - $132K/yr

... for REMOTE). You should minimally meet the knowledge, skills, and abilities listed below ... learning training, work-life flexibility, an exciting External Referral Program, and a diverse ...

Remote Machine Learning Compiler Engineer information

See Orange Beach, AL salary details

$64.6K

$144.3K

$176.6K

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

As of Jul 13, 2026, the average yearly pay for remote machine learning compiler engineer in Orange Beach, AL is $144,254.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,200.00 and $176,600.00 per year, depending on experience, location, and employer.

How does a Remote Machine Learning Compiler Engineer typically collaborate with cross-functional teams to optimize model deployment?

As a Remote Machine Learning Compiler Engineer, you will frequently collaborate with data scientists, hardware engineers, and software developers to ensure that machine learning models are efficiently compiled and deployed on target platforms. Communication often takes place through virtual meetings, code reviews, and shared documentation tools. You'll be responsible for translating research models into optimized code, troubleshooting performance bottlenecks, and integrating feedback from various stakeholders. Effective teamwork is crucial, as the success of deployments often depends on iterative feedback and close alignment with both the ML research and hardware teams.

What is a Remote Machine Learning Compiler Engineer?

A Remote Machine Learning Compiler Engineer is a software engineer who specializes in developing and optimizing compilers specifically for machine learning workloads, while working from a remote location. Their primary responsibilities include designing and implementing compiler features that translate machine learning models into efficient code for various hardware platforms, such as CPUs, GPUs, or specialized accelerators. They collaborate closely with machine learning researchers, hardware engineers, and software developers to ensure high performance and compatibility. In addition to strong programming skills, they typically require expertise in compiler theory, machine learning frameworks, and hardware architectures. This role allows for flexible, location-independent work while contributing to cutting-edge AI technologies.

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

AspectRemote Machine Learning Compiler EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Software Engineering, or related fields; knowledge of compiler design and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in programming, statistics, and data analysis
Work EnvironmentPrimarily software development, compiler optimization, and ML model deploymentData analysis, model building, and interpretation of results
Industry UsageTech companies, AI startups, hardware firms focusing on ML hardware accelerationTech, finance, healthcare, and research organizations

While both roles involve working with machine learning, the Remote Machine Learning Compiler Engineer focuses on developing and optimizing compilers for ML models, whereas the Remote Data Scientist concentrates on analyzing data and building predictive models. The roles share some technical skills but differ in their core responsibilities and work environments.

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

To thrive as a Remote Machine Learning Compiler Engineer, you need a strong background in computer science, proficiency in programming languages like C++ and Python, and expertise in compiler theory and machine learning frameworks. Familiarity with ML compilers such as TVM or XLA, and experience using version control and CI/CD systems are commonly required, along with a relevant bachelor's or master's degree. Outstanding problem-solving, collaboration, and communication skills are essential for working effectively in distributed teams and across technical domains. These skills and qualities enable the development of efficient, scalable ML solutions that bridge software and hardware, ensuring high performance and innovation.
What cities near Orange Beach, AL are hiring for Remote Machine Learning Compiler Engineer jobs? Cities near Orange Beach, AL with the most Remote Machine Learning Compiler Engineer job openings:
Medical Device Account Executive - Southern US

Medical Device Account Executive - Southern US

EnsoData

Pensacola, FL โ€ข Remote

$220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


Job description

Hi, I'm Courtney, the Regional Sales Director (RSD) for the southern US at EnsoData! We're excited to announce that we're looking for an Account Executive based in New Orleans, LA or Jacksonville, FL. We are looking for a self-starter who is eager to contribute to the growth of our business dedicated to improving healthcare. This remote position offers the following compensation:

  • Base salary: $90,000
  • At plan: $220,000
  • New hire guarantees for the first six months
  • Bonus potential after annual target is reached
  • Uncapped commissions
  • Stock options
  • Additional benefits such as paid time off, healthcare insurance, and parental leave.

The company is based in Madison Wisconsin but the territories are field based and this territory primarily covers Jacksonville, FL west to New Orleans, LA.

We are searching for proven account executives in the medical device industry so highlight your achievements on your resume!

The person in this role will be focused on growing the EnsoHST solution to all sleep, and referring physicians. This person needs to be professional and knowledgable in the business of sleep and medical devices.

Primary responsibilities:

  • Strive to exceed the monthly revenue quota
  • Identify prospective customers, generate and convert leads to sales; collaborate with new and existing customers to identify needs and sell solutions
  • Coordinate the sales process with marketing and the Sales Solutions Engineer (demonstrations)
  • Negotiate contracts and pricing with the RSD and/or CCO
  • Maintain their customer details in our CRM, HubSpot
  • Partner with Marketing and others to develop and refine sales and marketing strategies
  • Represent EnsoData at shows and, as needed, travel for onsite demonstrations

EnsoData

EnsoData strives to make healthcare more accurate, efficient, and affordable through waveform artificial intelligence (AI) technology. Using AI and machine learning, our software analyzes billions of data points collected from sensors placed throughout the human body. Our first solution, EnsoSleep, reduces the time clinicians spend analyzing, scoring and managing sleep studies. This results in a simplified and accelerated patient testing, diagnosis, and treatment workflow. Our AI-powered technology has the capability of informing health decisions beyond sleep medicine, from monitoring patient health in the ICU or through wearables, to detecting and capturing seizure data, to providing earlier detection of heart disease, diabetes, stroke, and Alzheimerโ€™s.

Requirements

This is what we need in our new team member:

  • Previous experience in sleep medicine, specifically home sleep testing sales (PPG is preferred)
  • Healthcare Software as Medical Device, SaaS or healthcare software sales knowledge preferred
  • Clinical aptitude, business acumen & strong work ethic
  • Hunter mindset w/ creative thinking
  • Preferred 5+ years account executive experience
  • Experience closing business in a health system required
  • Enterprise health system sales experience preferred
  • Experience working with CRM, preferred but not required
  • Bachelor's degree is preferred
  • Excellent people skills and positive attitude, ability to partner with a dynamic team
  • Experience working with remote and hybrid office/remote teams
  • Previous experience at a startup, tech, software engineering, or similar company is a bonus
  • Desire to contribute to building groundbreaking technologies to make healthcare more efficient, affordable, and effective
  • Personal qualities of integrity, perseverance, and commitment to the mission
  • Ability to travel up to 50% of the time - the position will focus on remote selling as compared to being on the road each day/week.

Candidates who apply but do not live in the territory area will not be considered.


Company Culture - Embrace the Pineapple!

How do we do this? https://www.ensodata.com/blog/why-the-pineapple/

  • Make Healthcare Better - is passionate about moving healthcare to a better place for everyone everywhere
  • Put Customers First - delights customers by working closely with them to support their initiatives
  • Be a Great Teammate - spreads the good vibes and is a joy to work with; also understands the value of helping one's teammates
  • Gets $#!t Done - bias toward action and intrinsically motivated to go above and beyond; demonstrates the ability to work autonomously as well as across teams
  • We also practice a Focus on Quality and look for teammates who don't cut corners and demonstrate integrity and attention to detail

Benefits

The benefits package includes, but is not limited to, the following:

Remote and flexible schedule - we are a remote company with hybrid options and support for flexible schedules! That being said, we have an amazing office headquarters in downtown Madison, WI with views of the capitol that you are welcome to work at anytime. In case you didn't know, Madison has consistently been ranked as one of the top places to live in the US (businessinsider.com, money.com, livability.com)!

Health, dental, and vision insurance with options to choose a plan that fits you and your dependents needs.

Paid time off options - we want our employees to rest, recharge, and feel better.

Stock options - we want team members to feel ownership in the organization. When EnsoData does well, you do well.

401k to help people invest in the future.

Team Summits! We look forward to opportunities to gather in person and enjoy a few days together. We participate in team events and gain some great in-person time. (Hint: check out our blog for info from former team gatherings!)

Interview Process

  1. Submit a resume online and our hiring team will choose those that seem like the best candidates.
  2. We look forward to meeting you face-to-face! A few candidates will be chosen for a video call to get to know each other, discuss your experience, and explain the position in more detail.
  3. Expect an opportunity to demonstrate your skills.
  4. The final candidates will have a chance to meet a few people from the team.
  5. Offer!

Letโ€™s talk

EnsoData seeks to recruit, hire, and retain the most talented people from a diverse candidate pool. Research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. If you think youโ€™re a great fit, but don't necessarily check every box on the job description, please still get in touch.

To learn more about our ongoing commitment to diversity, see our updated website here.

Note: this role is based in the continental United States and currently EnsoData is unable to support sponsorships so candidates must be legally eligible to work and reside in the United States now and in the future.

Equal Employment Opportunity

EnsoData is proud to be an Equal Employment Opportunity employer. We do not discriminate against, nor do we tolerate unlawful harassment against, team members or any other covered persons on any basis of race, color, protective hairstyles, national, social, or ethnic origin, gender, pregnancy, childbirth, gender orientation, identity or expression, sexual, relationship, or romantic orientation, marital, civil union or domestic partnership status, family or parental status, age, protected veteran status, arrest record, expunged or sealed convictions, criminal history, source of income, credit history, housing status, physical, mental, or sensory disability, medical condition, genetic information, religion, or any other status protected by the laws or regulations in the locations where we operate.

We value, celebrate, and support diversity, inclusion, and our differences. We are committed to providing a safe work environment and a company culture of mutual respect where equal employment opportunities are available to all applicants and teammates. We seek to recruit, hire, and retain the most talented people from a diverse candidate pool. We strongly encourage women, people of color, LGBTQIA+ individuals, people with disabilities, members of ethnic minorities, intersectional individuals, foreign-born residents, and veterans to apply. We have a deep conviction that diversity and inclusion among our teams, our communities, and our physical and virtual workplaces is vital to the success of EnsoDataโ€™s mission to improve healthcare access, outcomes, and affordability for patients and communities everywhere globally.

If you are a job seeker applying to EnsoData and you feel that you need to request an accommodation or alternative application, please contact Angela at angela@ensodata.com.

The applicant tracking system used to collect candidate resumes has artificial intelligence features built into it which may or may not be used during candidate recruitment and selection.