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senior machine learning engineer

Global Partners LP

<div><p>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.</p><p>
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.</p><p>
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</p><p></p><p>
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.</p><p></p><p>
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.</p><p><br>
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.</p><p><b>
The Types of &ldquo;Energy&rdquo; You Bring</b></p><ul><li><p>
Ability to work independently and take ownership of projects from design to deployment</p></li><li><p>
Strong written and verbal communication skills for cross-functional collaboration</p></li><li><p>
Comfortable working in a fast-paced environment with shifting priorities and deadlines</p></li><li><p>
Willingness to learn new tools, frameworks, and cloud services as needed</p></li><li><p>
Ability to troubleshoot infrastructure, data, or deployment issues across the ML lifecycle</p></li><li><p>
Demonstrated experience managing production systems with high reliability and uptime expectations</p></li><li><p>
Experience working with cross-functional teams including Data Science, Analytics, Engineering, and Product</p></li><li><p>
Commitment to documentation, reproducibility, and maintainability of ML workflows</p></li><li><p>
Adherence to security, privacy, and governance standards when handling sensitive data or deploying models</p></li><li><p>
Flexibility to support occasional after-hours deployment or troubleshooting if production issues arise</p></li></ul><p><b>
&ldquo;Gauges&rdquo; of Responsibility</b></p><ul><li><p>
Design, build, and maintain ML pipelines for training, evaluation, and inference using AWS SageMaker and related tools</p></li><li><p>
Implement and manage cloud infrastructure using AWS CDK or Terraform, and automate deployments via CI/CD workflows</p></li><li><p>
Collaborate with data scientists to productionize features and maintain high-performance pipelines using Python, SQL, pandas, and dbt</p></li><li><p>
Monitor deployed models for performance, drift, and data quality, with automated retraining or rollback as needed</p></li><li><p>
Ensure data integrity and system reliability through validation checks, logging, and alerting</p></li><li><p>
Troubleshoot and resolve production issues related to model serving, infrastructure, or data dependencies</p></li><li><p>
Contribute to architecture discussions and document infrastructure, workflows, and design decisions to support collaboration and scalability</p></li></ul><p>
 &ldquo;<b>Fuel&rdquo; for You
</b></p><ul><li><p><b>Coins!</b> 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.</p></li><li><p><b>
Health + Wellness</b> - Medical, Dental, Visions and Life Insurance. Along with additional wellness support.</p></li><li><p><b>
The Road Ahead</b> &ndash; We offer 401k and a match component!</p></li><li><p><b>
Professional Development</b> - We provide tuition reimbursement; this benefit is offered after 6 months of service.</p></li><li><p><b>
Give Back!</b> 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.</p></li></ul><p><b>
The GPS of our Interview Process</b></p><ul><li><p>
First thing first, if you&rsquo;re interested in the role, please apply.</p></li><li><p>
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.</p></li><li><p>
We conduct &ldquo;in-person&rdquo; (Teams) interviews and provide additional interview information or other items needed at that time.</p></li></ul><p><b>
Qualifications:</b></p><ul><li><p>
Bachelor&rsquo;s Degree or equivalent knowledge</p></li><li><p>
Master&rsquo;s Degree preferred</p></li><li><p><b>
4+ years of experience</b> in MLOps, DevOps, Data Engineering, or Software Engineering with a focus on machine learning operations and infrastructure.</p></li></ul><p></p><p>
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.</p><p><br>
</p><p>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.</p><p></p><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><p>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.</p><p></p><p>
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.</p><p></p><div><p><b>
Position Summary</b><br>
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.<br>
<br>
<b>Required Qualifications</b></p><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><p><br>
<br>
<b>Preferred Qualifications</b></p></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><p><br>
<br>
<b>Education</b></p><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><p></p><p><b>
Anticipated Weekly Hours</b></p>
40<p></p><p><b>
Time Type</b></p>
Full time<p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$92,700.00 - $222,480.00<p></p><p>
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.</p><p><br>
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.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
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:</p><ul><li><p><b>
Affordable medical plan options,</b> a <b>401(k) plan </b>(including matching company contributions), and an <b>employee stock purchase plan</b>.</p></li><li><p><b>
No-cost programs for all colleagues </b>including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</p></li><li><p><b>
Benefit solutions that address the different needs and preferences of our colleagues</b> 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.</p></li></ul><p></p><p>
For more information, visit https://jobs.cvshealth.com/us/en/benefits</p><p></p>
We anticipate the application window for this opening will close on: 11/04/2025<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

GEICO

<div><p><b>At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.</b></p><p><b>
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.</b></p><p></p><p><b>
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.</b></p><p></p><p>
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.</p><p>
Key Responsibilities:</p><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><p>
Basic Qualifications:</p><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><p>
Core Engineering Skills &amp; Knowledge:</p><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><p>
Preferred Qualifications:</p><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><p></p><p><b><br>
Annual Salary</b></p>
$150,000.00 - $300,000.00<p>
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.</p><br>
<p></p>
GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.<p></p><p><b><br>
The GEICO Pledge:</b></p><p></p><p><b>
Great Company:</b> 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.</p><p>
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.</p><p></p><p><b>
Great Careers:</b> 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.</p><p></p><p><b>
Great Culture:</b> 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.</p><p>
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.</p><p></p><p><b>
Great Rewards:</b> We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.</p><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><p></p><p>
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.</p><p></p><p>
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.</p></div>

Senior Staff Machine Learning Engineer, AI Modeling and Research

Autodesk

<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div>Job Requisition ID #</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>
25WD89883<div></div><div>
Position Overview</div><div>
Autodesk is leading the transformation of the AEC industry, integrating AI technology into our products. We're enhancing our applications with cloud-native capabilities, including data at scale, edge computing, AI-based solutions, and advanced 3D modeling and graphics. This innovation is happening across our flagship products&mdash;AutoCAD, Revit, and Construction Cloud&mdash;and Forma, our new Industry Cloud.</div><div>
As a Machine Learning Engineer on the AEC Solutions team, you will join a team of technologists to help build cutting-edge foundation models and generative AI tools for the AEC industry. You will collaborate across organizations with a versatile group of AI Researchers, ML Engineers, Software Architects, and Experience Designers to generate and interpret design data that can augment design and engineering workflows.</div><div>
The ideal candidate is someone who isn&rsquo;t afraid of technical complexity and is constantly looking for ways to leverage the latest and greatest advancements in the field of artificial intelligence and machine learning to deliver next-generation experiences for our AEC customers.</div><div></div><div>
Report: You will report to an ML Development Manager for the Generative AI team</div><div></div><div>
Location: We support hybrid work or remote work in Canada or United States. East Coast Preferred</div><div></div><div>
Responsibilities</div><ul><li><div>
Set the strategic technical vision for Autodesk&rsquo;s generative AI capabilities in the AEC domain, influencing both short-term priorities and long-term investments</div></li><li><div>
Lead the design and development of intelligent data processing and characterization systems that transform unstructured inputs (e.g., text, images, geometry) into structured, ML-ready formats</div></li><li><div>
Architect and implement scalable, production-grade data and ML pipelines that support training and fine-tuning of models</div></li><li><div>
Drive strategic technical planning across the team&mdash;identifying bottlenecks, proposing long-term architectural improvements, and aligning data/ML infrastructure with product goals</div></li><li><div>
Collaborate closely with data engineers, applied scientists, and product teams to integrate large-scale data and related attributes into model development workflows</div></li><li><div>
Perform hands-on development of data preprocessing, feature extraction, and transformation modules optimized for downstream ML model performance</div></li><li><div>
Define and establish best practices for model experimentation, evaluation, and deployment in high-throughput environments</div></li><li><div>
Investigate and apply advanced techniques including self-supervised learning, active learning, and weak supervision to maximize the value of unlabeled data</div></li><li><div>
Own and evolve the model/data feedback loop by monitoring model quality, diagnosing failure modes, and guiding iterative improvements</div></li><li><div>
Mentor and support a team of ML engineers, fostering a culture of engineering excellence, curiosity, and technical ownership</div></li><li><div>
Stay current with advances in generative AI, foundation models, and data-centric AI&mdash;translating research into practical, scalable solutions</div></li></ul><div></div><div>
Minimum Qualifications</div><ul><li><div>
A Master's degree (or higher) in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics or a related field</div></li><li><div>
10+ years of work experience in machine learning, data science, AI, or a related field with a proven track record of technical leadership and hands-on implementation</div></li><li><div>
Deep understanding of data modelling, system architectures, and processing techniques, including 2D/3D geometric data representations</div></li><li><div>
Expertise in deep learning architectures (e.g., Transformers, CNNs, GANs) and modern ML frameworks (e.g., PyTorch, Lightning, Ray)</div></li><li><div>
Experience with Large Models (LLMs and/or VLMs) and related technologies, including frameworks, embedding models, vector databases, and Retrieval-Augmented Generation (RAG) systems, in production settings</div></li><li><div>
Experience with AWS cloud services and SageMaker Studio for scalable data processing and model development</div></li><li><div>
Strong foundation in computer science fundamentals, distributed computing, and algorithmic efficiency</div></li><li><div>
Proven ability to translate theoretical concepts into practical solutions and prototype implementations</div></li><li><div>
Ability to work autonomously while effectively collaborating across teams, bridging the gap between research and practical implementation</div></li><li><div>
Excellent technical writing and communication skills for documentation, presentations, and influencing cross-functional teams</div></li></ul><div></div><div>
Other Qualifications</div><ul><li><div>
Background in Architecture, Engineering, or Construction</div></li><li><div>
Extensive experience in system design for data preparation, hyperparameter selection, acceleration techniques, and optimization methods</div></li><li><div>
Proficiency in parallel and distributed computing techniques, with hands-on experience using platforms like Spark, Ray, or similar distributed systems for large-scale data processing and model training</div></li><li><div>
Familiarity with responsible AI principles, including bias mitigation, explainability, and ethical AI practices</div></li></ul><div></div><div>
The Ideal Candidate</div><ul><li><div>
Is passionate about solving problems for AEC customers (Architecture, Engineering, and Construction) by applying machine learning techniques</div></li><li><div>
Is a strategic thinker, capable of shaping and executing long-term data-driven initiatives that align with business objectives</div></li><li><div>
Is comfortable working in newly forming ambiguous areas where learning, experimentation and adaptability are key skills</div></li><li><div>
Actively contributes to a learning-driven culture, sharing knowledge, mentoring peers, and fostering an environment of continuous growth</div></li><li><div>
Is bold and iterative, unafraid to share ideas, experiment, and fail fast</div></li></ul><div></div><div><div><div><div><div><div><div><div>
Learn More</div></div></div></div></div></div></div></div><div></div><div>
About Autodesk</div><div>
Welcome to Autodesk! Amazing things are created every day with our software &ndash; from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.</div><div></div><div>
We take great pride in our culture here at Autodesk &ndash; it&rsquo;s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.</div><div></div><div>
When you&rsquo;re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!</div><div></div><div><div><div><div><div><div><div><div>
Salary transparency</div></div></div></div></div></div></div></div>
Salary is one part of Autodesk&rsquo;s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $166,600 and $269,500. Offers are based on the candidate&rsquo;s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.<div></div>
Salary is one part of Autodesk&rsquo;s competitive compensation package. For Canada-BC based roles, we expect a starting base salary between $161,300 and $236,500. Offers are based on the candidate&rsquo;s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.<div></div><div>
Equal Employment Opportunity</div><div>
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.</div><div></div><div>
Diversity &amp; Belonging</div><div>
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: <div>https://www.autodesk.com/company/diversity-and-belonging</div></div><div></div><div>
Are you an existing contractor or consultant with Autodesk?</div><div>
Please search for open jobs and apply internally (not on this external site).</div></div>

Senior/Principal Machine Learning Engineer, Generative AI

Explore 7439+ Senior machine learning engineer in Training Jobs In Training Jobs In Training Jobs In Person Jobs In United States this September. Find roles across top companies and apply now to boost your career.

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