senior software engineer

sr machine learning engineer Jobs in Chicago

sr machine learning engineer

staff machine learning engineer Jobs in Chicago

staff machine learning engineer

machine learning engineer

PayPal

<div>The Company
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. 
We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. 
We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. 
Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do &ndash; and they push us to ensure we take care of ourselves, each other, and our communities.
Job Description Summary: This job will design, develop, and implement machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.
Job Description:
Essential Responsibilities:
<ul><li>Develop and optimize machine learning models for various applications.</li><li>
Preprocess and analyze large datasets to extract meaningful insights.</li><li>
Deploy ML solutions into production environments using appropriate tools and frameworks.</li><li>
Collaborate with cross-functional teams to integrate ML models into products and services.</li><li>
Monitor and evaluate the performance of deployed models.</li></ul>
Expected Qualifications:<ul><li>
3+ years relevant experience and a Bachelor&rsquo;s degree OR Any equivalent combination of education and experience.</li><li>
Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.</li><li>
Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.</li><li>
Several years of experience in designing, implementing, and deploying machine learning models.</li></ul>
PayPal is committed to fair and equitable compensation practices.
 
 
Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience. 
 
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com. 
 
The U.S. national annual pay range for this role is $137,500 to $236,500

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. 
Our Benefits:
At PayPal, we&rsquo;re committed to building an equitable and inclusive global economy. And we can&rsquo;t do this without our most important asset-you. That&rsquo;s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.
We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com 
 
Who We Are:
To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx 
 
Commitment to Diversity and Inclusion
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
Belonging at PayPal:
Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. 
Any general requests for consideration of your skills, please Join our Talent Community. 
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don&rsquo;t hesitate to apply.</div>

Sr Machine Learning Engineer

<div>The Company
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. 
We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. 
We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. 
Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do &ndash; and they push us to ensure we take care of ourselves, each other, and our communities.
Job Description Summary: This job will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.
Job Description:
Essential Responsibilities:
<ul><li>Lead the development and optimization of advanced machine learning models.</li><li>
Oversee the preprocessing and analysis of large datasets.</li><li>
Deploy and maintain ML solutions in production environments.</li><li>
Collaborate with cross-functional teams to integrate ML models into products and services.</li><li>
Monitor and evaluate the performance of deployed models, making necessary adjustments.</li></ul>
Expected Qualifications:<ul><li>
5+ years relevant experience and a Bachelor&rsquo;s degree OR Any equivalent combination of education and experience.</li><li>
Extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.</li><li>
Expertise in cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.</li></ul>
PayPal is committed to fair and equitable compensation practices.
 
 
Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience. 
 
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com. 
 
The U.S. national annual pay range for this role is $169,500 to $291,500

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. 
Our Benefits:
At PayPal, we&rsquo;re committed to building an equitable and inclusive global economy. And we can&rsquo;t do this without our most important asset-you. That&rsquo;s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.
We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com 
 
Who We Are:
To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx 
 
Commitment to Diversity and Inclusion
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
Belonging at PayPal:
Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. 
Any general requests for consideration of your skills, please Join our Talent Community. 
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don&rsquo;t hesitate to apply.</div>

Staff Machine Learning Engineer

Brillio LLC

<div><h1 class="jobSectionHeader">Principal Data Scientist - R01554696</h1>
<div>Principal Data Scientist</div><h6 class="jobSectionHeader">
Primary Skills</h6><ul><li>
Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio
</li></ul><h6 class="jobSectionHeader">Job requirements</h6><ul><li>
Qualifications Required: Master&rsquo;s plus degree in Computer Science, Statistics, Applied Mathematics, or a related field. 7+ years of experience in data science and machine learning, with a proven track record of delivering models to production. Proficiency in Python and ML libraries such as scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlow. Strong understanding of statistical modeling, machine learning algorithms, and experiment design. Solid experience with SQL and data manipulation tools (e.g., Pandas, Spark, or Dask). Experience deploying models using APIs (Flask, FastAPI), Docker, and orchestration tools (e.g., Airflow, Kubeflow, MLflow). Hands-on experience with cloud platforms (AWS, GCP, or Azure) and model serving tools. Excellent problem-solving and communication skills; able to explain complex concepts clearly and effectively. Preferred: Familiar with McDonald&rsquo;s business Experience with time series forecasting, causal inference, recommendation systems, or NLP. Familiarity with data versioning and reproducibility tools (e.g., DVC, Weights &amp; Biases). Exposure to feature stores, streaming data (e.g., Kafka), or real-time ML systems. Background in MLOps and experience building generalizable ML frameworks or platforms. Here is some additional context that we have put together regarding what we are looking for: Core Technical Skills ML Engineer Preferred: Ideally, the candidate should be an ML Engineer, though seasoned Data Scientists with relevant experience are suitable. Python &amp; SQL: Strong coding and data manipulation skills. Time-Series Forecasting: Experience with LGBM (LightGBM) and Darts library. MLOps Expertise Preferred: Hands-on experience with Astronomer, Airflow, and DAG creation. Capable of building wrappers and scalable pipelines. This skill is highly valuable, but not a deal breaker. Cloud Platforms: Proficient in AWS, with exposure to GCP preferred. Debugging &amp; Troubleshooting: Skilled in investigating and resolving issues in Python experiments and executions. GitHub Proficiency: Comfortable working in repositories with many contributors, managing branches, pull requests, and code reviews. Collaboration &amp; Work Style Self-Starter: Able to work independently and proactively contribute ideas. Team-Oriented: Willing to support Roman and Calvin while offering directional guidance on model enhancements. Fast Learner: Quick to adapt to new tools, workflows, and business contexts to rapidly onboard into the project. Domain Expertise Sales Forecasting: Proven experience in building and refining forecasting models. Understanding of business KPIs and translating insights into action.</li></ul></div>

Principal Data Scientist – R01554696

Strata Decision Technology

<div>How you'll make an impact:

As a Senior Data Scientist, you will have the opportunity to work with many of the nation's leading healthcare providers in utilizing their financial, operational, and clinical data to drive their mission of providing world-class care while improving financial health. Your work will bring new insights to the healthcare industry.
<ul>
<li>Applying data mining techniques and statistical analysis to healthcare and financial data across our customer base</li>
</ul><ul><li>Processing, cleansing and verifying the integrity of data used for analysis and modeling</li>
</ul><ul><li>Becoming an expert in our data, conducting ad hoc analyses that support thought leadership and identifying opportunities to extend our data assets with third-party sources of information when needed</li>
</ul><ul><li>Developing, evaluating, deploying, monitoring, and maintaining models and algorithms that automate manual processes, enrich our existing data assets, produce deep insights, and yield new data products</li>
</ul><ul><li>Collaborating closely with data engineering, software development, and product management to translate business problems into data science solutions which can be integrated into StrataJazz, our &quot;Best in KLAS&quot; enterprise SaaS solution</li>
</ul><ul><li>Communicating complex technical concepts and analytical findings effectively to both technical and non-technical audiences through visualizations, documentation, and presentations to drive decision making</li>
<li>Contributing to a culture of collaboration, learning, technical excellence, and continuous improvement by sharing your knowledge, skills, and ideas with others</li> 
</ul>
What we're looking for:
<ul>
<li>4-6 years of experience in data science roles, preferably within the healthcare or financial services sectors</li>
</ul><ul><li>Strong proficiency in computational programming languages such as Python and proficiency using command line, scripting, and environment management tools</li>
</ul><ul><li>Strong proficiency in SQL with the ability to explore, cleanse, and analyze messy data in large and complex relational databases</li>
</ul><ul><li>Demonstrated experience in data analysis and applied statistical modeling</li>
</ul><ul><li>Demonstrated experience with machine learning techniques, models, algorithms, and frameworks (e.g. classification, regression, clustering, XGboost, scikit-learn, etc.),</li>
</ul><ul><li>Expertise in time series modeling and forecasting a strong plus!</li>
</ul><ul><li>Strong problem-solving skills and ability to translate strategic questions into tactical work plans and outputs that deliver meaningful business value</li>
</ul><ul><li>Experience working with big data and cloud data warehousing technologies like Snowflake, and familiarity with ETL processes and frameworks like dbt</li>
</ul><ul><li>Experience building analytical and data science products within a SaaS framework</li>
</ul><ul><li>Excellent communication and interpersonal skills, with the ability to present findings to differing audiences (e.g. internal technical and non-technical stakeholders, CFO, CEO, physicians, etc.)</li>
<li>Data-oriented personality</li>
</ul>
Estimated Salary Range: $105,000 - $135,000

Actual salary will be determined based on factors including, but not limited to, skill set and level of experience. This salary range is a good faith estimate of base pay. Strata also provides discretionary variable pay programs based on role. In addition, Strata provides a comprehensive benefits package including retirement benefits, health and welfare benefits, paid time off, parental leave, life and accident insurance, and other voluntary and well-being benefits.<div>
Find out more about Strata benefits here.
How we work: 
The preferred location for this role is in Chicago, IL or St. Louis, MO. We value our people spending time together and have campuses hosting in-person events located in both cities. We are truly a hybrid environment with all team members experiencing the flexibility to work from home.

Thinking about applying? 
Research shows that women and underrepresented groups tend to apply to jobs only when they check every box on a job posting. If you're currently reading this and hesitating to click &quot;Apply&quot; for that reason, we encourage you to go for it! A true passion and excitement for making an impact is just as important as work experience.
 
 
Should you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please reach out to careers@stratadecision.com.

Here @ Strata&hellip; 
Our culture is driven by our people solving problems together. We embrace learning, collaboration, and continuous career growth. Together, we lift our customers, our products, our company, and our community.

We believe that each of our team member's unique perspectives and experiences is what drives innovation and positive change. Our individual differences are what make us a more forward-thinking organization. We foster a culture of inclusion, equity and belonging, regardless of race, religion, disability, sex, sexual orientation, gender identity or national origin. 
 
Our Core Values: 
While we celebrate what makes each member of our team unique, our core values are what connect us. They set clear expectations for how we approach our work and how each of us can positively influence the experience of our team and our customers. 
<ul>
<li>We connect with positive intent.</li>
<li>We are helpful.</li>
<li>We own it.</li>
<li>We get better every day.</li>
<li>We are humble.</li></ul></div></div>

Senior Data Scientist

BMO US

320 S Canal Street Chicago Illinois,60606
 
<div>About the Team
BMO&rsquo;s Applied AI team sets the standard for safe, high-performing AI systems across the bank, building BMO&rsquo;s leading-edge AI products and capabilities. Our work enables BMO&rsquo;s strategic outcomes, bridging business needs with scalable and responsible AI. If you thrive on technical challenges and want to make a strategic impact, this role is for you.<div></div>
About the Role
As an Engineering &amp; Data Science Specialist in Applied AI Evaluations, you will design, implement, and optimize evaluation frameworks and pipelines that measure the quality, safety, and performance of advanced AI systems at BMO. You&rsquo;ll work closely with the Product Owner and collaborate with engineering, research, and business teams to translate evaluation standards into robust, scalable solutions.
Your work will directly impact model development, deployment, and continuous improvement cycles&mdash;ensuring that evaluation signals are deeply integrated into experimental and production systems. You&rsquo;ll contribute to the development of reusable tools, agents, and harnesses that support responsible AI practices and regulatory compliance.<div></div>
Key Responsibilities<ul><li>
Develop, implement, and maintain evaluation pipelines and harnesses for AI models, ensuring reliability, reproducibility, and scalability for banking applications.</li><li>
Collaborate with the Product Owner to translate evaluation standards and business requirements into technical solutions.</li><li>
Prototype and validate evaluation methods using real banking workflows, integrating feedback into model training and deployment.</li><li>
Integrate evaluation metrics and signals into research, training, and production systems to drive measurable improvements in model performance and customer outcomes.</li><li>
Partner with engineering, research, and product teams to shape model interaction paradigms and deployment strategies.</li><li>
Build reusable tools and systems that enable contributions from across BMO and raise the quality bar for AI solutions.</li><li>
Ensure all evaluation frameworks adhere to regulatory, compliance, and Responsible AI requirements.</li><li>
Document processes, share knowledge, and contribute to a culture of continuous learning and responsible innovation.</li></ul><div></div>
Qualifications<ul><li>
3+ years of experience in engineering or data science roles, preferably in AI, machine learning, or data-driven product environments.</li><li>
Strong programming skills (e.g., Python, Java, or similar) and experience with ML/AI frameworks (e.g., PyTorch, TensorFlow).</li><li>
Experience building and maintaining evaluation pipelines for large language models (LLMs) and/or other AI systems, including multi-agent workflows, tool use, or long-context scenarios.</li><li>
Solid understanding of deep learning concepts, model training, and deployment practices.</li><li>
Familiarity with MLOps, CI/CD, and cloud-based AI infrastructure is a plus.</li><li>
Strong analytical and problem-solving skills, with the ability to communicate technical concepts to both technical and non-technical audiences.</li><li>
Motivated by high-impact collaboration and able to thrive in fast-paced, ambiguous environments.</li><li>
Commitment to BMO&rsquo;s values of inclusion, integrity, and responsible innovation.</li></ul>
Salary:
$122,400.00 - $228,000.00
Pay Type:
Salaried
The above represents BMO Financial Group&rsquo;s pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group&rsquo;s expected target for the first year in this position.
BMO Financial Group&rsquo;s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards
About Us
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one &ndash; for yourself and our customers. We&rsquo;ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we&rsquo;ll help you gain valuable experience, and broaden your skillset.
To find out more visit us at https://jobs.bmo.com/us/en
BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.</div>

Engineering & Data Science Specialist, Applied AI Evaluations

Tampoprint International Corporation

<div>Benefits: 
<ul><li>Competitive salary</li>
<li>Flexible schedule</li>
<li>Health insurance</li>
<li>Opportunity for advancement</li>
<li>Paid time off</li>
<li>Training &amp; development</li>
</ul> 
Mechanical Design Engineer 
 
Location: Chicago, IL
 
Salary: $80K - $100K 
 
We are looking for an experienced Mechanical Design Engineer who wants to grow within a new division of our company. We are a leading global provider in the pad printing market. You will have the opportunity to make a significant impact in our machine design and assembly department with plenty of room for advancement. 
 
What we offer: 
 
<ul><li>The opportunity to grow within the new technical division of the Company.</li>
<li>Being part of a team designing automations.</li>
<li>Competitive compensation and benefit package.</li>
</ul>What your role will be: 
 
<ul><li>Designing automations for print applications and their components, from concept through development.</li>
<li>Providing technical support for customer inquiries and consultations.</li>
<li>Estimating construction costs and design hours for projects, in collaboration with Sales Engineers.</li>
<li>Ensuring projects meet quality, economic, and time-related standards.</li>
<li>Working alongside our international R&amp;D team to develop products and machine concepts with a focus on quality and cost.</li>
<li>Creating detailed risk assessments and complying with ANSI/ISO 12100 safety standards.</li>
<li>Developing and maintaining part and assembly drawings, pneumatic plans, and machine documentation.</li>
<li>Collaborating with cross-functional teams, including electrical design departments, to ensure seamless integration.</li>
<li>Participating in client meetings, advising on design choices, and adjusting designs based on feedback.</li>
<li>Occasionally performing acceptance testing to ensure machinery meets performance standards.</li>
</ul>What We're Looking For: 
 
<ul><li>Experience in automated machinery design.</li>
<li>Proficiency in SolidWorks and a solid understanding of design principles.</li>
<li>Expertise in Microsoft Office and strong cost analysis skills.</li>
<li>Ability to manage budgets and track working hours during the design phase.</li></ul></div>

Mechanical Design Engineer

World's Finest Chocolate

<div><div>POSITION OVERVIEW: The Packaging Machinery Engineer, reporting to the Engineering Manager, is responsible for the design, development, installation, optimization, and maintenance of automated packaging systems used in manufacturing operations. This role ensures packaging equipment operates efficiently, safely, and cost-effectively to meet production and quality goals. The engineer will collaborate with cross-functional teams&mdash; production, maintenance, quality, and suppliers&mdash;to deliver innovative packaging solutions and continuous improvements.</div>
<div></div><div>KEY RESPONSIBILITIES:</div>
<div>Installation &amp; Commissioning</div>
<ul><li>Manage installation, setup, and validation of packaging lines and automation equipment</li>
<li>Coordinate with vendors, contractors, and internal teams to ensure on-time delivery and performance</li>
<li>Develop and execute FAT (Factory Acceptance Test) and SAT (Site Acceptance Test) protocols</li>
</ul><div>Optimization &amp; Troubleshooting</div>
<ul><li>Analyze machine performance data to identify bottlenecks and areas for improvement</li>
<li>Implement process improvements to increase uptime, reduce waste, and enhance efficiency</li>
<li>Troubleshoot mechanical, electrical, and control system issues</li>
</ul><div>Maintenance &amp; Reliability</div>
<ul><li>Support preventive and predictive maintenance programs for packaging equipment</li>
<li>Develop maintenance documentation, SOPs, and training materials for technicians and operators</li>
<li>Specify spare parts and manage supplier relationships for critical components</li>
</ul><div>Compliance &amp; Safety</div>
<ul><li>Ensure all equipment and processes comply with OSHA, FDA, GMP, and other applicable regulations</li>
<li>Participate in safety audits and risk assessments</li>
</ul><div>Project Management</div>
<ul><li>Manage capital projects from concept to completion, including budgeting and scheduling.</li>
<li>Prepare technical documentation, equipment specifications, and project reports.</li>
</ul><div>QUALIFICATIONS:</div>
<ul><li>Bachelor&rsquo;s degree in mechanical engineering, Mechatronics, or related field</li>
<li>Certified Packaging Professional (CPP) or equivalent preferred</li>
<li>Six Sigma Green Belt or similar process improvement certification preferred</li>
<li>At least 4-7 years of experience in packaging machinery design, maintenance, or process engineering (food, beverage, pharmaceutical, or consumer goods industry preferred)</li>
<li>Strong knowledge of packaging automation, PLCs, sensors, pneumatics, and motion control systems</li>
<li>Proficiency with CAD and 3D modeling software</li>
<li>Familiarity with Lean Manufacturing, Six Sigma, and TPM principles is a plus</li>
<li>Strong communication and collaboration skills</li>
<li>Attention to detail and commitment to safety and quality</li>
</ul><div>TRAVEL: Travel to equipment vendors or other sites as required (up to 15%)</div>
<div></div><div>WORKING ENVIRONMENT: Regular work in a manufacturing setting, including exposure to noise, temperature variations, and food processing environments.</div>
<div></div><div>COMPENSATION:</div>
<ul><li>Base Salary: $115,000 - $125,000 per year</li>
<li>Annual Bonus: 5% of base salary, based on company and/or individual performance</li>
<li>Medical insurance</li>
<li>Dental insurance</li>
<li>Vision insurance</li>
<li>Wellness Program</li>
<li>401k Matching</li>
<li>HSA/FSA</li>
<li>LifeLock Identity Theft Protection</li>
<li>STD/LTD</li>
<li>Life Insurance</li>
<li>Tuition Reimbursement</li>
</ul><div>EQUAL OPPORTUNITY EMPLOYER: 
World&rsquo;s Finest Chocolate is an equal opportunity employer and is committed to creating a diverse and inclusive workplace. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. We celebrate diversity and are dedicated to providing an environment of respect and inclusivity for all employees.</div></div>

Packaging Machinery Engineer

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