2

Startup Machine Learning Remote Jobs in Minnesota

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

... platforms, machine learning workloads, cloud infrastructure, and data integrations. * Lead root ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

New

Showing results 41-60

Startup Machine Learning Remote information

What is a startup machine learning engineer remote?

Remote startup machine learning jobs involve working for early-stage companies or startups to design, develop, and implement machine learning models and solutions, all while working from a remote location. These roles typically require strong programming skills, experience with data analysis, and familiarity with machine learning frameworks. Startups often offer dynamic environments where employees can work on diverse projects and contribute directly to the product's growth. Remote positions provide flexibility in work location and hours, but also require self-motivation and excellent communication skills to collaborate with distributed teams.

What skills and qualifications are needed to thrive as a startup machine learning engineer remote?

To thrive as a Startup Machine Learning Engineer remotely, you need a solid background in computer science, statistics, and machine learning algorithms, typically supported by a relevant degree or equivalent experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms (AWS, GCP, or Azure), and version control systems like Git is essential. Strong self-motivation, communication skills, and the ability to collaborate effectively across time zones help set outstanding candidates apart. These skills and qualities are crucial for delivering impactful ML solutions independently while contributing to fast-paced, distributed startup teams.

What are some unique challenges faced by startup machine learning engineers working remotely?

Machine learning professionals at startups often encounter fast-paced environments where priorities can shift quickly, and working remotely adds another layer of complexity. Collaboration with cross-functional teams, such as engineers and product managers, may require proactive communication to ensure alignment and clarity on project goals. Additionally, limited resources and data infrastructure at startups may mean you'll need to wear multiple hats and help shape processes from the ground up. However, this environment offers high autonomy, opportunities to have a direct impact, and rapid career growth potential as the startup scales.

What are the most commonly searched types of Startup Machine Learning jobs in Minnesota?

The most popular types of Startup Machine Learning jobs in Minnesota are:

What are popular job titles related to Startup Machine Learning Remote jobs in Minnesota?

For Startup Machine Learning Remote jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Startup Machine Learning Remote jobs in Minnesota look for?

The top searched job categories for Startup Machine Learning Remote jobs in Minnesota are:

What cities in Minnesota are hiring for Startup Machine Learning Remote jobs?

Cities in Minnesota with the most Startup Machine Learning Remote job openings:

Medical Device Account Executive - Minneapolis, MN

EnsoData

Minneapolis, MN • On-site, Remote

$220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago


Job description

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 Alzheimer's.

The Role

Hi, I'm Trey, the Regional Sales Director (RSD) for the western US at EnsoData! We're excited to announce that we're looking for an Account Executive based in Minneapolis, MN. We are looking for a self-starter who is eager to contribute to the growth of our business dedicated to improving healthcare. This person will be focused on growing the EnsoHST solution to all sleep, and referring physicians. 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 covers Minnesota, Iowa, North and South Dakota, Nebraska, Kansas and the eastern part of Montana with a team member based in Minneapolis, MN.

This person will have the following responsibilities to name a few:

  • Plan to be on the road and hunting!
  • 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 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
  • Travel to shows to represent EnsoData and, as needed, travel for onsite demonstrations

Requirements

This is what we need in our new team member:

  • 2-5 years account executive and/or sales experience required
  • Ability to travel up to 75% of the time in the assigned territory
  • Experience working with CRM like HubSpot or Salesforce
  • Hunter mindset with creative thinking
  • Clinical aptitude, business acumen, & strong work ethic
  • Excellent people skills and positive attitude, ability to partner with a dynamic team
  • Experience working with remote and hybrid office/remote teams
  • 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

Preferred qualifications:

  • Bachelor's degree is strongly preferred but other degrees will be considered
  • Healthcare Software as Medical Device, SaaS or healthcare software sales knowledge
  • Previous experience in sleep medicine, specifically home sleep testing sales
  • Previous experience at a startup, tech, software engineering, or similar company

Please note that candidates who 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!

Let'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 you'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 EnsoData'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.