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senior machine learning engineer

Global Partners LP

<div>The Central Data &amp; Analytics Organization at Global is building a next-generation AI/ML platform on AWS, and we&rsquo;re looking for a Senior Machine Learning Engineer to help us scale smarter and faster. This role is pivotal in bridging the gap between data science exploration and robust, production-ready ML systems. As our inaugural MLE hire, you'll be embedded directly in our newly-formed Data Science/Machine Learning team, where you'll collaborate with Data Scientists to architect and implement, from the ground up, a cutting-edge machine learning platform.
You&rsquo;ll sit at the intersection of machine learning engineering, data science workflows, feature engineering, ML Governance, and core ML operations. Your focus will span taking models from notebooks to scalable, reliable production services and building automated pipelines that keep them running efficiently. You will architect scalable cloud infrastructure, automate ML workflows from training to monitoring or governance, and dive into real-world data transformations that power critical business functions like demand forecasting, pricing optimization, and personalized customer experiences.
If you love writing clean, efficient code, solving tangible business problems with machine learning, designing scalable systems, and seeing your work drive decisions at scale
This position is based in our Waltham, MA office. We offer a flexible work environment. This means working up to 2 days a week remotely and the rest of the time in the office.
For over 90 years Global Partners LP has been delivering the energy our communities need to grow, move, and thrive. From Alltown Fresh, with its innovative chef-led creations and guest-focused retail experience, to our vast network of over 50 liquid energy terminals across the eastern seaboard and beyond, Global Partner&rsquo;s integrated network of businesses delivers value day-in and day-out to our guests and customers across the US. At Global Partners we embrace the future, investing in energy transition with initiatives like GlobalGLO and supporting the communities in which we operate with our charitable work. 
We&rsquo;re excited for the next 90 years at Global Partners and what innovative new ideas we can bring to our guests and customers in the future. We&rsquo;re looking for passionate people with great ideas to contribute to our company&rsquo;s future. If you&rsquo;re motivated by what&rsquo;s next, Global Partners can provide you with the opportunities to push your career to the next level.
The Types of &ldquo;Energy&rdquo; You Bring<ul><li>
Ability to work independently and take ownership of projects from design to deployment</li><li>
Strong written and verbal communication skills for cross-functional collaboration</li><li>
Comfortable working in a fast-paced environment with shifting priorities and deadlines</li><li>
Willingness to learn new tools, frameworks, and cloud services as needed</li><li>
Ability to troubleshoot infrastructure, data, or deployment issues across the ML lifecycle</li><li>
Demonstrated experience managing production systems with high reliability and uptime expectations</li><li>
Experience working with cross-functional teams including Data Science, Analytics, Engineering, and Product</li><li>
Commitment to documentation, reproducibility, and maintainability of ML workflows</li><li>
Adherence to security, privacy, and governance standards when handling sensitive data or deploying models</li><li>
Flexibility to support occasional after-hours deployment or troubleshooting if production issues arise</li></ul>
&ldquo;Gauges&rdquo; of Responsibility<ul><li>
Design, build, and maintain ML pipelines for training, evaluation, and inference using AWS SageMaker and related tools</li><li>
Implement and manage cloud infrastructure using AWS CDK or Terraform, and automate deployments via CI/CD workflows</li><li>
Collaborate with data scientists to productionize features and maintain high-performance pipelines using Python, SQL, pandas, and dbt</li><li>
Monitor deployed models for performance, drift, and data quality, with automated retraining or rollback as needed</li><li>
Ensure data integrity and system reliability through validation checks, logging, and alerting</li><li>
Troubleshoot and resolve production issues related to model serving, infrastructure, or data dependencies</li><li>
Contribute to architecture discussions and document infrastructure, workflows, and design decisions to support collaboration and scalability</li></ul>
 &ldquo;Fuel&rdquo; for You
<ul><li>Coins! We offer competitive salaries and opportunities for growth. We mean it! We have an amazing Talent Development Team who create trainings for growth and job development.</li><li>
Health + Wellness - Medical, Dental, Visions and Life Insurance. Along with additional wellness support.</li><li>
The Road Ahead &ndash; We offer 401k and a match component!</li><li>
Professional Development - We provide tuition reimbursement; this benefit is offered after 6 months of service.</li><li>
Give Back! We believe in community support. We know everyone gives in their own way, that&rsquo;s why we offer paid volunteer time-off to you to help an organization of your choice.</li></ul>
The GPS of our Interview Process<ul><li>
First thing first, if you&rsquo;re interested in the role, please apply.</li><li>
A talent acquisition team member will review your resume in partnership with the hiring manager. If your experience would lend to this opportunity a recruiter will contact you.</li><li>
We conduct &ldquo;in-person&rdquo; (Teams) interviews and provide additional interview information or other items needed at that time.</li></ul>
Qualifications:<ul><li>
Bachelor&rsquo;s Degree or equivalent knowledge</li><li>
Master&rsquo;s Degree preferred</li><li>
4+ years of experience in MLOps, DevOps, Data Engineering, or Software Engineering with a focus on machine learning operations and infrastructure.</li></ul>
We value passion and potential. If you are enthusiastic about a position and think you can make a meaningful impact, we encourage you to apply even if you don't check every box. We embrace different perspectives, backgrounds and experiences. 
Global Partners LP is an equal opportunity employer. We foster a company culture where ideas from all people help us grow, move and thrive. We embrace the diversity of all applicants and do not discriminate against race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other basis prohibited by federal, state or local law. If you have a disability and need an accommodation to apply, please contact our recruiting department at 781-891-4000.<ul><li>Disclaimer: At Global Partners, we don't use lie detector tests for any employment decisions. We follow all the rules and regulations, so we need to let you know: In Massachusetts, it's illegal to require or administer a lie detector test as a condition of employment of continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</li></ul></div>

Senior Machine Learning 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.<div>
Position Summary 
We are seeking a Machine Learning Engineer to design and implement robust Machine Learning applications that drive innovation and business insights. You will collaborate closely with data scientists, software engineers, and product managers to integrate ML capabilities into our products and services, ensuring high performance and scalability. Strong Python programming skills is essential, must have prior experience working on GCP and Vertex AI, as well as working with BigQuery and NoSQL databases like MongoDB. 
 
Required Qualifications<ul><li>
Proven experience as a Machine Learning Engineer (3+ years) performing: Experience in software engineering with exposure to data models and GenAI applications; Hands-on experience with model evaluation, performance tracking, and automation; Familiarity with GenAI frameworks (LangChain, Hugging Face, etc.) and vector databases for RAG; and Understanding of machine learning fundamentals to integrate and monitor models effectively.</li><li>
Proficiency in Python programming language</li><li>
Experience with RDBMS &amp; NoSQL databases (e.g., MongoDB, BigQuery)</li><li>
Experience with data preprocessing, feature engineering, and model evaluation</li><li>
Experience with cloud platforms (Google Cloud, Azure)</li><li>
Understanding of machine learning concepts and workflows</li></ul></div><div> 
 
Preferred Qualifications</div><div><ul><li>
Experience/knowledge of agentic workflows</li><li>
Familiarity with Vertex AI &amp; Azure OpenAI</li><li>
Experience working with LLMs and RAGs</li><li>
Knowledge of natural language processing (NLP)</li><li>
Familiarity with big data technologies (Apache Spark, Ray, Dark)</li><li>
Experience with streaming data technologies (e.g., Apache Kafka, PubSub)</li><li>
Familiarity with version control systems (e.g., Git)</li><li>
Strong problem-solving skills and attention to detail</li><li>
Ability to work collaboratively in a team environment</li></ul></div><div> 
 
Education<ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, Information Technology, or a related field</li><li>
Relevant certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer) are a plus</li></ul></div>
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$92,700.00 - $222,480.00
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. 
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: 11/04/2025
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

GEICO

<div>At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers&rsquo; expectations while making a real impact for our company through our shared purpose.
When you join our company, we want you to feel valued, supported and proud to work here. That&rsquo;s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.
GEICO is seeking an experienced Staff or Sr. Staff Machine Learning Engineer to join the AI organization. This person will take on a critical leadership role in designing, implementing, and deploying cutting-edge machine learning models that solve real-world business challenges. You will collaborate with various business units to build scalable, high-performance ML systems with a strong emphasis on system design. In addition to technical contributions, you will mentor junior engineers, drive the full lifecycle of machine learning model development, and ensure that models are seamlessly integrated into production. This position requires expertise in both machine learning and software engineering to develop robust, production-grade solutions.
Key Responsibilities:<ul><li>
Lead the Design &amp; Implementation of ML Models: Lead the architecture and implementation of machine learning models, working closely with Product, Business Units, and Engineering teams.</li><li>
Build Scalable Infrastructure: Design and develop scalable infrastructure for model training, automated hyperparameter tuning, and deployment pipelines, ensuring that systems are reliable and performant at scale.</li><li>
Write Production-Grade Code for ML Services and APIs: Write high-quality, maintainable production-grade code that turns machine learning models into deployable services and APIs. Ensure that code is modular and reusable for future ML projects.</li><li>
Optimize Model Performance and Resolve Issues: Debug and troubleshoot model performance issues, track key metrics, and continuously enhance model reliability, speed, and efficiency in production environments.</li><li>
End-to-End Model Lifecycle Management: Own the complete lifecycle of ML models, including monitoring, retraining, and managing versions of models to ensure they continue to meet business needs over time.</li><li>
Leadership and Mentorship: Guide and mentor junior machine learning engineers, promote best practices in software engineering, model development, and deployment. Lead technical decision-making processes and foster collaboration within the team.</li><li>
Collaboration Across Teams: Collaborate with cross-functional teams (e.g., data engineering, software development, and product management) to integrate machine learning models and ensure smooth deployment and operations in production systems.</li><li>
Stay Up to Date with Industry Trends: Continuously explore and integrate new machine learning techniques and system engineering tools, ensuring the team remains at the forefront of machine learning and systems architecture practices.</li></ul>
Basic Qualifications:<ul><li>
B.Sc. in Computer Science, Machine Learning, Engineering, or a related technical field.</li><li>
6+ years of hands-on experience applying machine learning techniques, including deep learning, reinforcement learning, and NLP in production environments.</li><li>
6+ years of experience utilizing open-source/cloud-agnostic components such as data warehouse (e.g. snowflake), streaming platform (e.g. Kafka), relational database (e.g. PostgreSQL), NoSQL (e.g. MongoDB, Cassandra), distributed processing (e.g. Spark, Ray), workflow management (e.g. Airflow, Temporal), etc.</li><li>
6+ years of professional software development experience with at least two general-purpose programming languages such as Java, C++, Python or C#.</li><li>
6+ years of experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn for model development.</li><li>
At least 4 years of experience with cloud platforms (AWS, Azure, GCP) and containerization technologies such as Docker, as well as orchestration tools like Kubernetes.</li><li>
Proven experience in deploying machine learning models in a production environment, ensuring scalability, reliability, and high availability.</li></ul>
Core Engineering Skills &amp; Knowledge:<ul><li>
Extensive experience with object-oriented design (OOD), design patterns, writing clean, and maintainable code. Proficiency in version control (Git) and familiarity with Agile methodologies.</li><li>
Solid understanding of distributed systems and the challenges associated with scaling machine learning models in production, such as managing distributed data processing and microservices architectures.</li><li>
Expertise in implementing MLOPs practices, including setting up continuous integration (CI), continuous delivery (CD), automated testing, and deployment pipelines for ML models.</li><li>
Strong understanding of system architecture, performance optimization, designing fault-tolerant systems that handle large-scale data and high-volume requests.</li><li>
Experience designing and deploying machine learning models using cloud-based environments like AWS, Azure, or Google Cloud. Familiarity with cloud-native tools such as AWS Sage Maker, GCP AI Platform, or Azure Machine Learning.</li><li>
Experience setting up monitoring and logging systems to track performance in production environments and ensuring efficient resource utilization.</li></ul>
Preferred Qualifications:<ul><li>
Experience with designing and building high-performance distributed systems that handle large-scale data ingestion and processing for machine learning workloads.</li><li>
Experience with real-time inference pipelines and low-latency model serving.</li><li>
Familiar with serverless computing or managed services for ML model deployment.</li><li>
Advanced degree (M.Sc., Ph.D.) in a related field is a plus.</li><li>
Experience in working with GPU/TPU optimization for accelerated model training and inference.</li></ul> 
Annual Salary
$150,000.00 - $300,000.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate&rsquo;s work experience, education and training, the work location as well as market and business considerations. 

GEICO will consider sponsoring a new qualified applicant for employment authorization for this position. 
The GEICO Pledge:
Great Company: At GEICO, we help our customers through life&rsquo;s twists and turns. Our mission is to protect people when they need it most and we&rsquo;re constantly evolving to stay ahead of their needs.
We&rsquo;re an iconic brand that thrives on innovation, exceeding our customers&rsquo; expectations and enabling our collective success. From day one, you&rsquo;ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people&rsquo;s lives.
Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career &ndash; and your potential &ndash; in mind. You&rsquo;ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.
Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.
As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.
Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.<ul><li>
Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family&rsquo;s overall well-being.</li><li>
Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.</li><li>
Access to additional benefits like mental healthcare as well as fertility and adoption assistance.</li><li>
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.</li></ul>
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.</div>

Senior Staff Machine Learning Engineer, AI Modeling and Research

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
As a part of our team, you will bring deep expertise in quantitative modeling (forecasting, recommender systems, reinforcement learning, causal inferencing or generative artificial intelligence) to build and refine models that can be implemented in production. You will be a thought leader as we chart new courses with our ad sales support technologies, and you have the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers. As a senior lead, you will have the excitement to take iterative approaches to tackle big, long-term problems. 
 
Why you will love this opportunity: Amazon has invested heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon's Retail and Marketplace businesses. We deliver billions of ads impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit with a broad mandate to experiment and innovate. 
 
Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences; this is your opportunity to work within the fastest growing businesses across all of Amazon! Define a long-term scientific vision for our advertising sales business, driven from our customers' needs, translating that direction into specific plans for scientists, engineers and product teams. This role combines scientific leadership, organizational ability, technical strength, product focus, and business understanding. 
 
Key job responsibilities 
<ul><li>Conceptualize and lead state-of-the-art research on new Machine Learning and Generative Artificial Intelligence solutions to optimize all aspects of the Ad Sales business</li><li>Guide the technical approach for the design and implementation of successful models and algorithms in support of expert cross-functional teams delivering on demanding projects</li><li>Conduct deep data analysis to derive insights to the business, and identify gaps and new opportunities</li><li>Run regular A/B experiments, gather data, and perform statistical analysis</li><li>Work closely with software engineers to deliver end-to-end solutions into production</li><li>Improve the scalability, efficiency and automation of large-scale data analytics, model training, deployment and serving</li></ul> 
About the team 
Sales AI is a central science and engineering organization within Amazon Advertising Sales that powers selling motions and account team workflows via state-of-the-art of AI/ML services. Sales AI is investing in a range of sales intelligence models, including the development of advertiser insights, recommendations and Generative AI-powered applications throughout account team workflows.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>5+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</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. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
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 $150,400/year in our lowest geographic market up to $260,000/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>

Sr. Applied Scientist, D&S

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