engineer

project engineer

ai engineer

Daice Labs

<div>
 
 
 Company Description
 
 
 
 Daice Labs is building hybrid AI frameworks that integrate today's models into systems that learn continuously. Founded by MIT CSAIL scientists, we focus on building new architectures by combining LLMs/DL with symbolic reasoning and bio-inspired system design. Operating on two tracks, our Product Lab develops industry-specific solutions for collaborative human teams + AI co-building and co-owning vertical applications, while our Research Lab explores how principles of natural intelligence can guide systems design of new hybrid AI architectures.
 
 
 Join us in taking the next leap in productivity through collaborative innovation.
 
 
 
 
 
 
 Role Description
 
 
 
 This is a full-time remote role for a Research AI Engineer Intern in our R&amp;D department. The Research AI Engineer Intern will be responsible for helping developing and implementing AI and machine learning algorithms, conducting research on new AI methodologies, and applying statistical models to improve hybrid AI systems. Day-to-day tasks include analyzing data , building hybrid architectures (LLMs/DL, symbolic reasoning), and designing efficient evaluation benchmarks. Collaboration with cross-functional teams to integrate AI solutions into broader projects is also a key aspect of this role.
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Strong foundation in Computer Science
 </li>
 <li>
 Strong foundation in Machine learning algorithms, LLMs, agentic architectures
 </li>
 <li>
 Proficiency in Statistics, evaluation, inference, platform integration
 </li>
 <li>
 Proficiency in python and ML stack programming languages/libraries/toolkits
 </li>
 <li>
 Excellent problem-solving skills and ability to work independently
 </li>
 <li>
 Effective communication skills for collaborative work
 </li>
 <li>
 Bachelor's or Master's degree in Computer Science, AI, or related field
 </li>
 <li>
 Experience with hybrid AI system design is a plus
 </li>
 </ul>
</div>

Research AI engineer intern

InvoiceCloud

<div><div>About InvoiceCloud:

InvoiceCloud is a fast-growing fintech company with an award-winning culture and a leading disruptor in the electronic bill presentment and payment (EBPP) space. Serving more than 3,200 customers across the utility, government, and insurance industries, InvoiceCloud's secure and innovative SaaS platform enhances the customer experience, driving higher digital payment, AutoPay, and paperless adoption rates. By switching to InvoiceCloud, clients can improve customer engagement and satisfaction while lowering costs, accelerating payments, and reducing staff workloads. To learn more, visit InvoiceCloud.com.
</div>
Position Overview:

The Staff AI Engineer plays a critical role in advancing InvoiceCloud's generative AI strategy by designing, developing, and deploying large language model (LLM) and AI-driven capabilities that enhance the InvoiceCloud platform and customer experience. This role operates at the intersection of research, engineering, and product impact &mdash; leading the end-to-end lifecycle of AI solutions from rapid prototyping through scalable production deployment.

As a technical expert, the Staff AI Engineer partners with Product, Data Science, Data Engineering, and Platform teams to translate business goals into reliable, measurable, and secure AI implementations. The role drives innovation through applied experimentation, defines reusable frameworks and standards for AI integration, and improves efficiency through automation and observability.

Success in this position means delivering real customer and business outcomes &mdash; improving platform intelligence, developer velocity, and operational efficiency &mdash; while shaping the technical direction for how AI is built and delivered at InvoiceCloud.

Success Profile:
This role is anchored in four of our company's core competencies. These competencies reflect the mindsets and behaviors that define success in this role. We outline how each competency translates into real-world actions and outcomes specific to this role.

Results Driven
<ul>
<li>Leads end-to-end development of AI/ML and generative models that deliver measurable performance, reliability, and ROI.</li>
<li>Defines technical KPIs for scalability, latency, and accuracy, ensuring all models align with business outcomes.</li>
<li>Collaborates with engineering leadership to translate strategy into executable AI roadmaps that drive platform innovation.</li>
<li>Working with AI Product Strategy Lead to engage customers and prospects to refine our go-to-market and ensure product success.</li>
</ul>
Takes Ownership
<ul>
<li>Acts as a domain authority for AI architecture, frameworks, and lifecycle management.</li>
<li>Partners with cross-functional teams to ensure data governance, compliance, and operational stability of deployed AI systems.</li>
<li>Proactively resolves blockers, defines governance routines, and ensures disciplined delivery against milestones and quality standards.</li>
</ul>
Innovative
<ul>
<li>Evaluates, prototypes, and integrates emerging AI technologies&mdash;such as LLMs, agentic frameworks, and multimodal systems&mdash;to strengthen platform capabilities.</li>
<li>Pioneers automation strategies leveraging MLOps, model monitoring, and self-learning pipelines to optimize performance.</li>
<li>Uses GenAI tools (e.g., Azure/OpenAI, LangChain, Semantic Kernel) to streamline model development, automate feature generation, and accelerate experimentation cycles.</li>
</ul>
Customer Centric
<ul>
<li>Designs AI-powered solutions that enhance the end-customer experience, improving personalization, engagement, and payment outcomes.</li>
<li>Collaborates closely with Product and Client Success teams to align AI initiatives with customer needs and feedback loops.</li>
<li>Advocates for responsible AI&mdash;ensuring fairness, transparency, and trust in all deployed solutions.</li>
</ul>
Requirements
<ul>
<li>8+ years of software engineering experience, including 3+ years building AI/ML or LLM-powered applications.</li>
<li>Demonstrated success delivering scalable AI systems in production environments in a SaaS product environment.</li>
<li>Expertise with Python and one or more of C++/C#; experience with Semantic Kernel, LangChain, Azure OpenAI, and vector databases.</li>
<li>Familiarity with model evaluation, prompt tuning, and performance optimization.</li>
<li>Strong cross-functional communication and technical mentorship skills; thrives in a collaborative, high-ownership environment.</li></ul><div> 
InvoiceCloud is an Equal Opportunity Employer.

InvoiceCloud provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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.

If you have a disability under the Americans with Disabilities Act or similar law, or you require a religious accommodation, and you wish to discuss potential accommodations related to applying for employment at our company, please contact jobs@invoicecloud.com.

Click here to review InvoiceCloud's Job Applicant Privacy Policy.

To all recruitment agencies: InvoiceCloud does not accept agency resumes. Please do not forward resumes to our job's alias, employees, or any other organization location. Invoice Cloud is not responsible for any fees related to unsolicited resumes.</div></div>

AI Staff Engineer

CVS Health

<div>At CVS Health, we&rsquo;re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.
As the nation&rsquo;s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues &ndash; caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.
Job Summary:
The AI lead, leads the development and deployment of end-to-end AI and Machine Learning (ML) pipelines, ensuring that AI initiatives align with strategic business goals. This role requires a blend of deep technical expertise in AI technologies, architectural design principles, and strong leadership to guide cross-functional teams. This high-level, strategic role requires a professional to bridge the gap between business objectives and technical AI capabilities.
Key Responsibilities:
Strategic Planning and Architectural Design<ul><li>
Develop a comprehensive AI strategy and roadmap that supports business objectives and drives innovation.</li><li>
Design and develop scalable, secure, and resilient AI systems and infrastructure.</li><li>
Translate business needs and use cases into technical AI and ML solutions.</li><li>
Evaluate and select the most appropriate AI technologies, frameworks, and cloud services (e.g., AWS, Azure, GCP).</li></ul>
Technical Implementation and Oversight<ul><li>
Oversee the entire lifecycle of AI projects, from research and design to deployment and monitoring.</li><li>
Collaborate with data scientists and engineers to build robust data pipelines for AI model training and inference.</li><li>
Ensure the seamless integration of AI applications and ML models with existing IT infrastructure and business processes.</li><li>
Optimize AI systems for performance, scalability, and cost efficiency, and troubleshoot technical issues.</li></ul>
Leadership and Collaboration<ul><li>
Provide technical leadership and guidance to development teams, including AI engineers and software developers.</li><li>
Collaborate effectively with business stakeholders, product managers, and executives to communicate the potential, limitations, and strategic value of AI initiatives.</li><li>
Foster a culture of innovation and continuous improvement across AI teams.</li></ul>
Governance and Ethics<ul><li>
Ensure AI implementations comply with ethical standards, data privacy regulations (e.g., GDPR), and security best practices.</li><li>
Establish and enforce data governance policies for AI model development and data usage.</li><li>
Mitigate risks such as adversarial attacks and data poisoning.</li></ul>
Research and Development<ul><li>
Stay up-to-date with the latest advancements in AI research, trends, and technologies.</li><li>
Recommend new methodologies and tools to improve the organization's AI capabilities.</li></ul>
Required Qualifications:
Experience<ul><li>
Extensive experience (5 - 7 years) in software development, data science, or as an AI/ML Engineer.</li><li>
Proven track record of designing, implementing, and deploying scalable AI solutions in a production environment.</li><li>
Demonstrated experience with cloud computing platforms (AWS, Azure, GCP) and MLOps practices.</li></ul>
Technical Skills<ul><li>
Programming Languages: Proficiency in Python is essential, along with experience in languages like R, Java, or Scala.</li><li>
AI/ML Frameworks: Expertise in machine learning and deep learning frameworks, such as TensorFlow, PyTorch, and scikit-learn.</li><li>
Data Technologies: Strong knowledge of big data technologies like Hadoop and Spark, as well as data processing and warehousing techniques.</li><li>
AI Concepts: Deep understanding of machine learning models, neural networks, natural language processing (NLP), and computer vision.</li></ul>
Soft Skills<ul><li>
Problem-Solving: Exceptional analytical and critical thinking skills to address complex technical and business challenges.</li><li>
Communication: Strong ability to communicate complex technical concepts to both technical and non-technical stakeholders.</li><li>
Leadership: Demonstrated leadership and project management capabilities to guide and mentor teams.</li><li>
Adaptability: A commitment to continuous learning to keep pace with the rapidly evolving field of AI.</li></ul>
Education<ul><li>
A Bachelor's degree in Computer Science, Data Science, AI, or a related field</li></ul>
Pay Range
The typical pay range for this role is:
$106,605.00 - $260,590.00 
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul><li>
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li><li>
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li>
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li></ul>
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 01/02/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Sr Manager, AI Engineer

Fossa

<div><div>If you're like us, you agree that open source software is a wonderful and unique gift that the community of software developers across the world have given to each other. At FOSSA, we want to proliferate its usage with our software supply chain management platform that helps our customers know what licenses, vulnerabilities, and dependencies go into their software as they utilize open source software packages. And we won't rest until all companies, big and small, love and feel as comfortable with using open source as we are.

FOSSA is a rapidly growing series-B company with a truly distributed team. While our roots are in San Francisco, our growing team has members in several countries across many time zones. We're always working to find the perfect balance of effective approaches to distributed work, while maintaining the direct personal connections that help us work better together and love our jobs.</div>
As an applied AI software engineer on our team, you'll be working on researching, designing, prototyping, and implementing our next generation of software at FOSSA. While still working closely with the entire Engineering and Product departments, the R&amp;D team focuses on more experimental software development that will define the future of our company. Our current focus is around using a combination of static analysis, deterministic algorithms, along with LLM interactions, to provide our users with reliable, time-saving, and automated solutions to keeping their projects and the dependencies they use as healthy as possible The R&amp;D team follows a lightweight process that lets the team move fast and learn from experiments quickly. Come help us create the future of FOSSA!
<h4 class="jobSectionHeader">
In this role you will:</h4>
<ul><li>Work closely with our R&amp;D business unit to research, plan, design, prototype, and build the future of FOSSA</li>
<li>Own user-impacting functionality from conception to completion</li>
<li>Build and scale the most valuable prototypes into production</li>
<li>Have significant ownership in our technical architecture and R&amp;D roadmap</li>
<li>Primarily work in Typescript, but touch a variety of codebases in other languages, such as Rust, Haskell, or Go</li>
<li>Contribute to structured analysis of various languages (Java, Python, others) our customers use</li>
<li>Experiment with LLMs and context engineering and benchmark the results to ensure we accomplish maximal value and consistency from them</li>
</ul><h4 class="jobSectionHeader">About you:</h4>
<ul><li>Experience working on greenfield projects as part of small teams</li>
<li>Experience building and deploying software in high-velocity environments</li>
<li>Experience building and supporting scalable SaaS products and features</li>
<li>Experience with relational databases and writing performant SQL queries</li>
<li>Experience interacting with LLM APIs as a service</li>
<li>Enjoy combining the latest technologies and tools with best practices to accelerate development</li>
<li>Passionate about getting creative with AI to work around its shortcomings in creating automated solutions to complex problems</li>
<li>Interest in the art of programming languages (design, compilers and syntax parsing, etc)</li>
<li>You're comfortable navigating complex domains and building intuitive software for them</li>
<li>You thrive in an environment that prefers prototypes over proposals</li>
<li>Proactive in sharing ideas and informed opinions with others</li>
<li>Attention to detail and quality to anticipate edge cases ahead of time</li>
<li>A growth mindset and willingness to learn new things</li>
<li>You have 6+ years of experience working as a backend or fullstack engineer</li>
</ul>
Why you'll love working at FOSSA:
<ul>
<li>Amazing team culture and environment</li>
<li>Named by Built In as Best Start-up to work for 2024, 2025 and Forbes 2022</li>
<li>Competitive salary and equity package</li>
<li>Comprehensive benefits package (health, dental, vision, 401k)</li>
<li>Opportunities for professional growth and career development</li>
<li>Fully Remote</li>
<li>Unlimited PTO</li>
</ul>
FOSSA is an equal-opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

The annual cash compensation range for this position is $150,000 - $180,000 USD. Final compensation will be determined based on experience and skills and may vary from the range listed.</div>

Applied AI Software Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Are you interested in advancing Amazon's Generative AI capabilities? Come work with a talented team of engineers and scientists in a highly collaborative and friendly team. We are building state-of-the-art Generative AI technology that will benefit all Amazon businesses and customers. 
 
Key job responsibilities 
As a Software Development Engineer, you will be responsible for designing, developing, testing, and deploying high performance model inference capabilities, including but not limited to multi-modality, SOTA model architectures, latency, throughput, and cost. You will collaborate closely with a team of engineers and scientists to influence our overall strategy, and define the team&rsquo;s roadmap. You will drive system architecture, spearhead best practices, and mentor junior engineers. 
 
A day in the life 
You will consult with scientists to get inspiration of emerging techniques, and blend those into our roadmap; You will design and experiment with new algorithms from public and internal papers, benchmark the latency and accuracy of your implementations; Most importantly you will implement production grade solutions, and see them through the deployments swiftly; You may need to collaborate with other science and engineering teams to get things done properly; You will hold highest bar in operational excellence and support production systems, and constantly create solutions to minimize the ops load. 
 
About the team 
Our mission is to build best-in-class, fast, accurate, and cost-efficient frontier model inference solutions and infrastructure that will enable Amazon businesses to deliver more value to their customers.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>Experience with software performance optimization</li><li>Knowledge of Deep Learning and Transformer architectures</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Experience with Large Language Model Inference</li><li>Experience with GPU programming (TensorRT-LLM)</li><li>Experience with Python, PyTorch, and C++ programming and performance optimization</li><li>Experience with Trainium and Inferentia Development</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Software Development Engineer - Generative AI, AGIF | Inference Engine

CarGurus

<div><div>Who we are

At CarGurus (NASDAQ: CARG), our mission is to give people the power to reach their destination. We started as a small team of developers determined to bring trust and transparency to car shopping. Since then, our history of innovation and go-to-market acceleration has driven industry-leading growth. In fact, we're the largest and fastest-growing automotive marketplace, and we've been profitable for over 15 years.

What we do

The market is evolving, and we are too, moving the entire automotive journey online and guiding our customers through every step. That includes everything from the sale of an old car to the financing, purchase, and delivery of a new one. Today, tens of millions of consumers visit CarGurus.com each month, and ~30,000 dealerships use our products. But they're not the only ones who love CarGurus&mdash;our employees do, too. We have a people-first culture that fosters kindness, collaboration, and innovation, and empowers our Gurus with tools to fuel their career growth. Disrupting a trillion-dollar industry requires fresh and diverse perspectives. Come join us for the ride!</div>
Role overview

CarGurus' SEO and Content team is seeking a highly skilled and motivated Senior Software Engineer to help drive the next generation of AI-powered organic growth and content experiences. In this impactful role, you'll collaborate closely with Engineering, Product, Data Science, and Marketing teams to develop innovative solutions that enhance CarGurus' visibility across search engines and solidify our position as a top organic destination for automotive shoppers in the US, Canada, and the UK. If you're passionate about leveraging AI and large-scale data to shape the future of SEO and drive measurable traffic growth, we'd love to hear from you!

What you'll do
<ul>
<li>Collaborate with fellow engineering, marketing, editorial, design, and data analysts to take an idea from concept to technical design to implementation to testing to measurement</li>
<li>Take ownership of architecture and design decisions for new capabilities, and maintain and improve existing backend systems.</li>
<li>Ensure systems are performant, reliable, and scalable, while maintaining security and best practices.</li>
<li>Elevate the team's code and practices by writing efficient, maintainable, and well-tested code, and by conducting code reviews and mentoring others.</li>
<li>Continuously learn, adopt, and advocate for new technologies and methodologies to improve team effectiveness and product quality.</li>
</ul>
What you'll bring
<ul>
<li>Expert in OOP (Java preferred), ideally in fast paced environments</li>
<li>Hands-on experience building and optimizing services and a strong understanding of microservices</li>
<li>A strong understanding of data structures, algorithms and complexity analysis</li>
<li>AWS experience a plus</li>
<li>The ability to iterate and ship ideas quickly, with loose direction.</li>
<li>Bachelor's degree in Computer Science or Computer Engineering</li>
<li>Curious and plays well with others</li>
<li>5+years of relevant work experience preferred</li></ul><div> 

Working at CarGurus

We reward our Gurus' curiosity and passion with best-in-class benefits and compensation, including equity for all employees, both when they start and as they continue to grow with us. Our career development and corporate giving programs, as well as our employee resource groups (ERGs) and communities, help people build connections while making an impact in personally meaningful ways. A flexible hybrid model and robust time off policies encourage work-life balance and individual well-being. Thoughtful perks like daily free lunch, a new car discount, meditation and fitness apps, commuting cost coverage, and more help our people create space for what matters most in their personal and professional lives.

We welcome all

CarGurus strives to be a place to which people can bring the ultimate expression of themselves and their potential&mdash;starting with our hiring process. We do not discriminate based on race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. We foster an inclusive environment that values people for their skills, experiences, and unique perspectives. That's why we hope you'll apply even if you don't check every box listed in the job description. We also encourage you to tell your recruiter if you require accommodations to participate in our hiring process due to a disability so we can provide the appropriate support. We want to know what only you can bring to CarGurus. #LI-Hybrid</div></div>

Senior Software Development Engineer, SEO and Content

athenahealth

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.
 
We are looking for a Machine Learning Engineer to join the Clinical Foundations data science zone. The zone through collaboration and innovation, identifies, develops accelerate the integration of machine learning technics in Clinicals R&D - our clinicians and patients experience with athenaOne . This role focuses on developing customized models and innovative solutions which can integrate into various workflows, ensuring high reliability, security and scalability by following best practices.
 
About you
 You love to own important work and find it difficult to turn down a good challenge. You are excited about the latest developments in ML and keep abreast of the latest methods and technologies. You have experience building and evaluating ML models. You have strong communication skills and can work with colleagues from a variety of technical and non-technical backgrounds. Finally, you have a strong interest in improving healthcare.
 
About the team
 The athenaClinicals product is a vital component of the athenaOne platform, enabling best experience for our clients and users. The Data Science team is bringing machine learning to bear in automating existing workflows and create more efficient ones. We are working with other engineering leaders in athenaClinicals product to build machine learning into our Best in KLAS suite of products to drive innovation and increase automation. Also, this team is responsible to deploy state-of-the-art machine learning models using cloud technologies.
 
Job Responsibilities
 As a member of the athenaClinicals Data Science team, you are expected to work on projects within scrum teams of 2-4 people and execute the following:
 
Identify opportunities for different machine learning techniques and evaluate which are best
 
Assist in developing and deploying ML-based production services to our clients
 
Understand and follow conventions and best practices for modeling, coding, architecture, and statistics; and hold other team members accountable for doing so
 
Apply rigorous testing of statistics, models, and code
 
Contribute to the development of internal tools and AI team standards
 
Advocate for responsible AI—focusing on fairness, transparency, and data privacy
 
Actively participate in technical design discussions and propose innovative solutions to complex challenges
 
Provide timely and constructive code reviews
 
Mentor and guide fellow engineers, fostering a culture of continuous learning and innovation
 
Typical Qualifications: 
Bachelors or Masters in relevant field: Math, Computer Science, Data Science, Statistics, or related field
 
4-6 years of professional hands-on experience in developing evaluating & deploying machine learning models
 
Strong software engineering foundations, with expertise in Python and experience developing production-quality systems using best practices in testing, modularity, and documentation
 
Provide technical & thought leadership, designing and implementing advanced machine learning techniques, focusing on robust & scalable solutions
 
Experience with training & fine tuning LLMs & GenAI models is a bonus
 
Familiarity with NLP or computer vision techniques
 
Experience using the AWS ecosystem a bonus, including Kubernetes, Kubeflow or EKS experience
 
Familiarity with large-scale data processing frameworks and ETL pipelines (e.g., Spark)
 
Excellent verbal communication and writing skills
 
Passion for staying current with AI research and applying novel techniques responsibly in production
 
Understanding of ethics, fairness, and compliance implications of Ai
 
Expected Compensation
 The base salary range shown reflects the full range for this role from minimum to maximum. At athenahealth, base pay depends on multiple factors, including job-related experience, relevant knowledge and skills, how your qualifications compare to others in similar roles, and geographical market rates. Base pay is only one part of our competitive Total Rewards package - depending on role eligibility, we offer both short and long-term incentives by way of an annual discretionary bonus plan, variable compensation plan, and equity plans.
 
About athenahealth
 
Our vision: In an industry that becomes more complex by the day, we stand for simplicity. We offer IT solutions and expert services that eliminate the daily hurdles preventing healthcare providers from focusing entirely on their patients — powered by our vision to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.
 
Our company culture: Our talented employees — or athenistas, as we call ourselves — spark the innovation and passion needed to accomplish our vision. We are a diverse group of dreamers and do-ers with unique knowledge, expertise, backgrounds, and perspectives. We unite as mission-driven problem-solvers with a deep desire to achieve our vision and make our time here count. Our award-winning culture is built around shared values of inclusiveness, accountability, and support.
 
Our DEI commitment: Our vision of accessible, high-quality, and sustainable healthcare for all requires addressing the inequities that stand in the way. That's one reason we prioritize diversity, equity, and inclusion in every aspect of our business, from attracting and sustaining a diverse workforce to maintaining an inclusive environment for athenistas, our partners, customers and the communities where we work and serve.
 
What we can do for you: 
Along with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative workspaces — some offices even welcome dogs.
 
We also encourage a better work-life balance for athenistas with our flexibility. While we know in-office collaboration is critical to our vision, we recognize that not all work needs to be done within an office environment, full-time. With consistent communication and digital collaboration tools, athenahealth enables employees to find a balance that feels fulfilling and productive for each individual situation.
 
In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. We provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued.
 
Learn more about our culture and benefits here: athenahealth.com/careers
 https://www.athenahealth.com/careers/equal-opportunity

Senior Software Engineer – Clinical Foundations

Explore 69+ Ai engineer in Boston this November. Find roles across top companies and apply now to boost your career.