ML Engineer
Solventum
Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers’ toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Description ML Engineer 3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers’ toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you. The Impact You’ll Make in this Role As an ML Engineer , you will be responsible for building and maintaining the pipelines that power AI in our Healthcare Information Systems (HIS). We are looking for a practical, detail-oriented engineer who is passionate about MLOps, data reliability, and production stability . In this role, you won’t just be building models; you will be ensuring those models work reliably in the real world. You will help bridge the gap between data science and software engineering by implementing automated workflows, managing cloud infrastructure, and ensuring our AI services are secure and scalable. Key Responsibilities MLOps & Deployment Pipeline Development: Build and maintain CI/CD pipelines for machine learning, focusing on automated testing, model deployment, and version control (using tools like MLflow or Git). Model Serving: Deploy ML models as scalable APIs and microservices, ensuring they meet performance and latency requirements for clinical use. Monitoring: Implement basic monitoring tools to track model performance, data drift, and system health in production. Data Engineering & Integration Data Pipelines: Develop and optimize ETL processes to transform healthcare data (FHIR, HL7) into clean, usable datasets for model training and inference. Feature Management: Help build and maintain feature stores and data layers that ensure consistency between training and production environments. System Integration: Work closely with backend teams to integrate ML outputs into our core healthcare applications. Engineering Best Practices Code Quality: Write clean, maintainable, and well-documented Python code. Participate in code reviews to ensure system reliability. Containerization: Use Docker and Kubernetes to package and orchestrate ML workloads across different environments. Security & Compliance: Follow established protocols to ensure all data handling and deployments meet HIPAA and HITRUST security standards. Your Skills And Expertise To set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications: Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, or a related field. 3–5 years of professional experience in software engineering or data engineering, with at least 2 years focused on machine learning production environments. AND Programming: Strong proficiency in Python and familiarity with SQL. Knowledge of a compiled language (like Go or Java) is a plus. Cloud & Infrastructure: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP) and containerization (Docker). ML Tools: Familiarity with ML libraries (PyTorch or Scikit-learn) and MLOps tools (like Airflow, Prefect, BentoML, or Kubeflow). Data Tools: Experience with data processing frameworks (like Pandas, Spark, or dbt). Additional qualifications that could help you succeed even further in this role include Familiarity with deploying Large Language Models (LLMs) or using frameworks like LangChain. Experience working in a regulated environment (Healthcare, Finance, etc.). Understanding of API design and microservices architecture. Work location: Remote Travel: May include up to 10% domestic Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status). Supporting Your Well-being Solventum offers many programs to help you live your best life – both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope. Onboarding Requirement: To improve the onboarding experience, you will have an opportunity to meet with your manager and other new employees as part of the Solventum new employee orientation. As a result, new employees hired for this position will be required to travel to a designated company location for on-site onboarding during their initial days of employment. Travel arrangements and related expenses will be coordinated and paid for by the company in accordance with its travel policy. Applies to new hires with a start date of October 1st 2025 or later. Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties. Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers. Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain of @solventum.com. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains. Please note, Solventum does not expect candidates in this position to perform work in the unincorporated areas of Los Angeles County. Solventum is an equal opportunity employer Solventum will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. Application requirements Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. Solventum Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here. Before submitting your application you will be asked to confirm your agreement with the terms. #J-18808-Ljbffr Solventum
- ...ML Engineer Austin, Texas, United States About the Job Our client is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales and service teams work. Their AI technology captures and analyzes real...SuggestedFull time
- ...Ml Engineer We are seeking an ML Engineer to join our team developing an Enterprise Generative AI SaaS solution on AWS. In this role, you will be responsible for fine-tuning foundation models, prompt engineering, and optimizing algorithms for our generative AI platform...Suggested
- ...Machine Learning Operations Engineer Habitat Energy is a fast growing technology company focussed on the physical and financial optimisation... ...Preferred Skills & Experience ~3+ years in MLOps, ML Engineering, Data Engineering, or closely related roles building...SuggestedWork at officeFlexible hours
- ...About the job ML Engineer - Austin, TX About Us We are a stealth-mode startup building next-generation infrastructure for the AI industry. Our mission is to make advanced language models portable, efficient, and customizable for real-world deployments....SuggestedWork at officeRemote workFlexible hours
- Fairygodboss in Austin, Texas, is seeking a Machine Learning Engineer to design and optimize models enhancing our core search ranking. Responsibilities include developing recommendation algorithms and creating ETL pipelines for real-time data processing. The ideal candidate...SuggestedFlexible hours
- We are seeking a highly motivated AI/ML Engineer with strong experience in machine learning, deep learning, and applied AI research . You will be responsible for designing, experimenting, and developing models to solve real-world business problems. The ideal candidate should...
- ...adapt to dynamic human environments. Join our mission-driven team as we build out current and future generations of robots. As an ML Engineer, Manipulation, you will develop and deploy learning-based manipulation systems that enable mobile robots to interact reliably...
$183k - $246k
...team has doubled in the past year, and with 100+ employees (50+ engineers), we’re scaling fast and entering a period of hypergrowth. This... ...are ~7+ years of experience building and shipping production ML/AI systems. ~ Proven track record of leading complex, ambiguous...Work at officeRemote workFlexible hours$152k - $228k
...Job Description Job Description Senior ML Engineer About Invoca Invoca is an AI-powered revenue execution platform that brings together marketing, commerce, and contact center teams to turn every customer interaction into measurable, profitable growth. Join our...Currently hiringRemote workFlexible hours$143k - $197k
...ChatGPT Jobs is seeking a Senior Machine Learning Engineer to develop ML and generative AI products. This role offers remote flexibility within the U.S. and a competitive salary range of $143K to $197K per year. The ideal candidate should have over 6 years of experience...Remote work$110k - $250k
...Hopper is looking for a Software Engineer to join its Fintech Foundation team in Austin, Texas. You will design and implement machine learning... ...Ideal candidates have over 5 years of experience in production ML systems, proficiency in Python, Scala, and SQL, and a strong...- ...re growing fast and looking for bold, driven teammates to join us. The Opportunity We're looking for a hands-on ML/LLM Engineer who's excited to ship real-world applications - not just benchmarks. You'll help us build and optimize AI-native systems that...
- ...Senior ML Engineer Interview on-site in Austin, TX. Candidates must be able to interview on-site in Austin, TX. This role sill start as a 3 month contract but has a strong chance of extension. The interview process will be 1 on-site interview and then an offer...Contract workImmediate start
- ...us. The Opportunity As a Senior Machine Learning Engineer at Autonomize, you will lead the development and deployment of machine... ...with multi-disciplinary teams including data scientists,ml engineers, healthcare clients, and product managers to deliver robust...Remote work
$128.7k - $261.3k
...approaches to model export, kernel development, and performance engineering so that every cycle on our accelerators translates into better... ...kernels and custom libraries that sit at the heart of our on‑vehicle ML inference for ADAS and autonomous driving . We own making...Local areaWork from homeRelocation packageFlexible hours- ...Job Summary The Senior ML Engineer will be responsible for deploying machine learning models and building the Databricks-based MLOps, pipeline, and CI/CD infrastructure that supports enterprise AI/ML solutions. This role partners closely with data scientists, data engineers...
- ...Upstart is looking for a Senior Software Engineer to enhance servicing decisions through machine learning integration. In this role, you will develop systems that elevate borrower interactions, collaborate with product and machine learning teams, and design metrics for...Work at officeRemote workFlexible hours
- ...webAI is looking for a Senior Machine Learning Engineer to develop and optimize AI systems for public sector initiatives. This hybrid position... ...clearance and at least 4 years of experience in applied AI or ML engineering. The role involves transforming models into scalable...Flexible hours
$220k - $250k
Bumble Inc. is seeking a Senior Machine Learning Engineer in Austin, Texas. In this role, you will build and deploy machine learning models to enhance user experience and engagement across our platform. You'll engage in data exploration, feature engineering, and model...- A leading AI technology company is seeking an ML Engineer to design and deploy machine learning systems. The role includes working on natural speech interaction and audio data insights, requiring strong skills in Python and ML frameworks like PyTorch or TensorFlow. Ideal...
- A leading technology company in Austin is seeking a Machine Learning Operations Engineer to enhance trading and analytics operations. The ideal candidate will focus on operationalizing trading algorithms and optimizing automated trading systems. A minimum of 3 years in...Work at office
- ...to dynamic human environments. Join our mission-driven team as we build out current and future generations of robots. As a Sr. ML Engineer, Autonomous Navigation, you will develop learning-based navigation models that enable Moxi to move naturally and safely around people...
- A stealth-mode startup in Austin, Texas is seeking an AI ML Engineer (Python) to design and implement AI pipelines for their next-generation infrastructure. This role focuses on productizing existing fine-tuning techniques, automating data preprocessing, and collaborating...Remote workFlexible hours
- A revolutionary tech startup is seeking a Machine Learning Engineer based in Austin, Texas. The ideal candidate will have experience in designing and deploying ML systems, with a focus on audio data analysis. Responsibilities include working on AI-powered solutions and...
$65 - $69.72 per hour
The Downtown Boulder Partnership is seeking a Data Science Engineer to join their team in Austin, TX. The role involves developing ML models for fraud detection and collaborating with various teams to embed insights into operational processes. The ideal candidate will...Hourly payContract work- ...Production Deployment: Build and maintain high-performance, scalable ML pipelines and GPU-based inference systems in cloud environments... ...: Work closely with product managers, data scientists, and engineers to translate business requirements into technical specifications...Permanent employmentContract workLocal area
- A cutting-edge AI company in Austin is seeking a Machine Learning Engineer who excels in foundation-model research and production engineering. The role involves training Vision-Language Models to enhance understanding of complex video motion and developing robust APIs...
- A healthcare technology firm seeks an ML Engineer responsible for building AI pipelines in Healthcare Information Systems. The ideal candidate will have 3-5 years of experience in engineering roles with a focus on machine learning production environments. Strong proficiency...Remote job
- Allen Control Systems in Austin, Texas, is seeking a Computer Vision & Machine Learning Engineer to develop algorithms for autonomous anti-drone systems. The ideal candidate will have a Bachelor's degree in Computer Science or Electrical Engineering and 4-7+ years of experience...
- Diligent Robotics in Austin, Texas is looking for a Sr. ML Engineer specializing in Autonomous Navigation to develop navigation models that enable robots like Moxi to operate safely among people and equipment. This role involves training models with fleet data and refining...
Do you want to receive more vacancies?
Subscribe and receive similar vacancies to ML Engineer. Be the first to apply!
- machine learning software engineer Austin, TX
- ai ml engineer Austin, TX
- computer vision machine learning engineer Austin, TX
- machine learning engineer Austin, TX
- senior ml engineer Austin, TX
- machine learning ai engineer Austin, TX
- machine learning intern Austin, TX
- machine learning researcher Austin, TX
- machine learning part time Austin, TX
- machine learning Austin, TX


