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About This Role
We anticipate the application window for this opening will close on - 3 Feb 2026
At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.
A Day in the Life
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We are seeking a committed professional to join our team. While this is a remote position not located at a physical Medtronic site, the candidate hired will be required to reside within the territory and drive to multiple accounts throughout the region. A valid driver's license is essential for this role.
Bring your talents to a leader in medical technology and healthcare solutions. Rooted in our long history of mission-driven innovation, our medical technologies open doors. We support your growth with the training, mentorship, and guidance you need to own your future success. Join us for a career that changes lives.
The Vascular Clinical Specialist role will provide detailed technical support for vascular products and procedures to a wide range of clinical base including physicians, nurses and technicians. This individual will support sales representatives with coverage for critical cases, primarily focused on cases with physicians that require technical support on the safe and effective use of our products.
POSITION RESPONSIBILITIES:
- Provide clinical and technical support as well as education to Medtronic customers in vascular disease therapies. Product categories include but not limited to peripheral arterial disease, venous disease, embolization, carotid and fistula maintenance.
- Educate and provide information regarding clinical results and the clinical efficacy of our full vascular bag portfolio.
- Conducts regular calls to hospitals or clinics to support vascular sales, service and education objectives with high energy, product knowledge confidence to drive improved patient outcomes.
- Promotes and establishes education of the company’s products and/or services with one-on-one training sessions, in-service education programs and support of conferences.
- Receive direction from the Clinical Service Manager, District Sales Manager with collaboration from sales reps on case and technical support with physicians and staff.
- Support district sales strategy: work with sales representatives and managers to achieve business plans. This may include inventory support, and technical case support.
- Demonstrate flexibility in scheduling to be able to provide technical case support based on the needs of the customer, including short term notice
- Support all business activities including but not limited to training, PO collection and inventory management.
- Conduct cycle counts of inventory at customer accounts. Assist with resolving discrepant inventory levels.
- Lead efforts in accounts to obtain signed Consignment Agreements (CA) and Inventory Schedules (IS).
- Optimize return on invested inventory across the district. Reposition under-performing inventory to accounts with revenue growth opportunity .
- Recommend and monitor inventory levels in alignment with customer segmentation and pricing & contract strategies. Coordinate and execute Phase-In and Phase-Out activities for product launches.
- Support Area and District sales strategy; work with sales representatives and service leaders to achieve business plan.
- Responsible for developing, building, and strengthening long-term relationships with stakeholders including key decision makers, customers and their staff, and administrators that drive business and therapy adoption.
- Responsible for pursuing leads, assessing needs, and providing product services to maximize the benefits derived from Medtronic’s vascular products and/or services to understand and confirm customer needs, effectively engages, and overcomes customer objections.
- Assess customer needs and feedback regarding new products and/or modifications to existing products and communicates to sales representative .
- Partner with sales team and vascular field technician on inventory management initiatives.
#CVCS
MUST HAVE:
*IN ORDER TO BE CONSIDERED FOR THIS POSITION, THE FOLLOWING BASIC QUALIFICATIONS MUST BE EVIDENT ON YOUR RESUME*
- H.S. Degree and 11+ years
OR
- Associate degree and 9+ years
OR
- Bachelor’s degree with 7+ years of experience in healthcare, field sales support, personnel and performance management, project management, or work experience utilizing complex mathematics, mechanical concepts, science or computing
N ICE TO HAVE :
- Thorough working knowledge of medical terminology, medical procedures and the medical device industry
- Excellent customer service skills
- Excellent interpersonal, written and verbal communication skills
- Effectively build and maintain positive relationships with peers and colleagues across organizational levels
- Strong project management skills and experience coordinating programs
- Ability to coordinate/ participate in numerous tasks/projects in a fast-paced environment in an organized manner while meeting deadlines
- Strong work ethic in accomplishing objectives of the position
- Expertise with Microsoft Outlo ok, Excel, Word and PowerPoint
PHYSICAL JOB REQUIREMENTS:
- The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job . Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
- While performing the duties of this job, the employee is regularly required to be independently mobile . The employee is also required to interact with a computer, and commun icate with peers and co-workers
- Ability to travel domestically over 50% by automobile, plane or other forms of transportation
- Lifting/carrying 20 pounds
- Sit/stand walk 6-8 hours day
- Operate moving vehicle
- Must have a valid driver's license and active vehicle insurance policy . In addition, your driving record will be reviewed and will be considered as part of your application
Environmental Exposures:
- Must be able to wear all required personal protective equipment (PPE)
- Ability to work in Cath Labs and achieve vendor credentialing
- Must have a valid driver’s license in state of residency and active vehicle insurance policy
A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create . We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.
In addition to Base Salary, this position is eligible for a Sales Incentive Plan (SIP), which provides the opportunity to earn significant incentive compensation for achieving or exceeding your goals.
The provided base salary range is used nationally. The rate offered is compliant with federal/local regulations and may vary by experience, certification/education, market conditions, location, etc
Physical Job Requirements
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.
The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. For Office Roles: While performing the duties of this job, the employee is regularly required to be independently mobile. The employee is also required to interact with a computer, and communicate with peers and co-workers. Contact your manager or local HR to understand the Work Conditions and Physical requirements that may be specific to each role.
Benefits & Compensation
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Medtronic offers a competitive Salary and flexible Benefits Package
A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.
Salary ranges for U.S (excl. PR) locations (USD):85000-95000
The base salary range is applicable across the United States, excluding Puerto Rico and specific locations in California. The offered rate complies with federal and local regulations and may vary based on factors such as experience, certification/education, market conditions, and location. Compensation and benefits information pertains solely to candidates hired within the United States (local market compensation and benefits will apply for others).
In addition to Base Salary, this position is eligible for a Sales Incentive Plan (SIP), which provides the opportunity to earn significant incentive compensation for achieving or exceeding your goals.
The following benefits and additional compensation are available to those regular employees who work 20+ hours per week: Health, Dental and vision insurance , Health Savings Account , Healthcare Flexible Spending Account , Life insurance, Long-term disability leave , Dependent daycare spending account , Tuition assistance/reimbursement , and Simple Steps (global well-being program).
The following benefits and additional compensation are available to all regular employees: Incentive plans, 401(k) plan plus employer contribution and match , Short-term disability , Paid time off , Paid holidays , Employee Stock Purchase Plan , Employee Assistance Program , Non-qualified Retirement Plan Supplement (subject to IRS earning minimums) , and Capital Accumulation Plan (available to Vice Presidents and above, or subject to IRS earning minimums).
Regular employees are those who are not temporary, such as interns. Temporary employees are eligible for paid sick time, as required under applicable state law, and the Employee Stock Purchase Plan. Please note some of the above benefits may not apply to workers in Puerto Rico.
Further details are available at the link below:
About Medtronic
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We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.
Our Mission — to alleviate pain, restore health, and extend life — unites a global team of 95,000+ passionate people.
We are engineers at heart— putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.
It is the policy of Medtronic to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Medtronic will provide reasonable accommodations for qualified individuals with disabilities.
If you are applying to perform work for Medtronic, Inc. (“Medtronic”) in any position which will involve performing at least two (2) hours of work on average each week within the unincorporated areas of Los Angeles County, you can find here a list of all material job duties of the specific job position which Medtronic reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. Medtronic will consider for employment qualified job applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Salary Context
This $85K-$95K range is in the lower quartile for AI/ML Engineer roles in our dataset (median: $170K across 217 roles with salary data).
View full AI/ML Engineer salary data →Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 37,339 AI roles we're tracking, AI/ML Engineer positions make up 91% of the market. At Medtronic, this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills Required
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $154,000 based on 8,743 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $147,000. This role's midpoint ($90K) sits 42% below the category median. Disclosed range: $85K to $95K.
Across all AI roles, the market median is $190,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $300,688. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Safety ($274,200). By seniority level: Entry: $85,000; Mid: $147,000; Senior: $225,000; Director: $230,600; VP: $248,357.
Medtronic AI Hiring
Medtronic has 1 open AI role right now. They're hiring across AI/ML Engineer. Based in Gainesville, FL, US. Compensation range: $95K - $95K.
Location Context
Across all AI roles, 7% (2,732 positions) offer remote work, while 34,484 require on-site attendance. Top AI hiring metros: New York (1,633 roles, $204,100 median); Los Angeles (1,356 roles, $179,440 median); San Francisco (1,230 roles, $240,000 median).
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 37,339 open positions tracked in our dataset. By seniority: 3,672 entry-level, 23,272 mid-level, 7,048 senior, and 3,347 leadership roles (Director, VP, C-Level). Remote roles make up 7% of the market (2,732 positions). The remaining 34,484 roles require on-site or hybrid attendance.
The market median for AI roles is $190,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $300,688. Highest-paying categories: AI Engineering Manager ($293,500 median, 21 roles); AI Safety ($274,200 median, 24 roles); Research Engineer ($260,000 median, 264 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 37,339 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (33,926), AI Software Engineer (823), AI Product Manager (805). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (3,672) are outnumbered by mid-level (23,272) and senior (7,048) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 3,347 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 7% of all AI roles (2,732 positions), with 34,484 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $190,000. Top-quartile roles start at $244,000, and the 90th percentile reaches $300,688. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $145,600. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Rag (23,721 postings), Aws (12,486 postings), Rust (10,785 postings), Python (5,564 postings), Azure (3,616 postings), Gcp (3,032 postings), Prompt Engineering (2,112 postings), Kubernetes (1,713 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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