business intelligence engineer ii Jobs in Seattle

business intelligence engineer ii

data scientist

senior software engineer - azure databricks data engg Jobs in Seattle

senior software engineer - azure databricks data engg

data engineer

Capgemini

<p></p><div><div><p><b>About the job you&rsquo;re considering</b></p><p>
Capgemini is looking for Azure Databricks Data Engineer in Seattle WA.</p><p><b><br>
Your role</b></p><ul><li>
Demonstrate deep knowledge of the data engineering domain to build and support non-interactive (batch, distributed) &amp; real-time, highly available data, data pipeline, and technology capabilities</li><li>
Build fault-tolerant, self-healing, adaptive, and highly accurate data computational pipelines</li><li>
Provide consultation and lead the implementation of complex programs</li><li>
Develop and maintain documentation relating to all assigned systems and projects</li><li>
Tune queries running over billions of rows of data running in a distributed query engine</li><li>
Perform root cause analysis to identify permanent resolutions to software or business process issues</li></ul><p><b><br>
Your skills and experience</b></p><ul><li>
Bachelor&rsquo;s degree in computer science, management information systems, or related discipline, or equivalent work experience</li><li>
MUST HAVE Technology skills (7/10 or higher):<br>
Strong/expert Spark (PySpark) Using Jupyter Notebooks, Colab or DataBricks (preferred)<br>
Hands-on data pipeline development, ingest patterns in Azure<br>
Orchestration tools, ADF or Airflow<br>
SQL<br>
Denormalized Data modeling for big data systems</li></ul><p><b>
Life at Capgemini</b></p><p>
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:</p><ul><li>
Flexible work</li><li>
Healthcare including dental, vision, mental health, and well-being programs</li><li>
Financial well-being programs such as 401(k) and Employee Share Ownership Plan</li><li>
Paid time off and paid holidays</li><li>
Paid parental leave</li><li>
Family building benefits like adoption assistance, surrogacy, and cryopreservation</li><li>
Social well-being benefits like subsidized back-up child/elder care and tutoring</li><li>
Mentoring, coaching and learning programs</li><li>
Employee Resource Groups</li><li>
Disaster Relief</li></ul><p><b>
About Capgemini</b></p><p>
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to<br>
engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of &euro;22.1 billion.</p><p>
Get the future you want | www.capgemini.com</p><p><b>
Disclaimer</b></p><p>
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p><p>
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.</p><p>
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p><p>
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p><p></p><p><br>
Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.</p><br>
<div></div>
</div><div>
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $110,000 - $120,000. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company&rsquo;s sole discretion, consistent with the law.</div><div>
</div><div><b>
Job</b> Developer</div><div><b>
Schedule</b> Full-time</div><div><b>
Primary Location</b> US-WA-Seattle</div><div><b>
Organization</b> I&amp;D</div></div>

Senior Software Engineer - Azure Databricks Data Engg

Redfin

<div>This position is a hybrid role requiring employees to work from our headquarters location in Seattle, WA every Tuesday and Wednesday, and remote all other days.<p></p><p>
Redfin is redefining real estate in the consumer&rsquo;s favor by combining our own technology and agents to create a service that&rsquo;s better, faster, and costs less. As a Redfinnian, you'll make a difference in one of life&rsquo;s most important events&mdash;buying or selling a home. Our hiring standards are high, yet our culture is humble. We&rsquo;ve got all the perks, but if what you value most is doing great work in a creative, collaborative, and disciplined environment, join us.</p><p></p><p>
As a Business Intelligence Engineer, you&rsquo;ll use some of the most robust real estate data in the world to build tools and answer important questions about the American housing and rental market related to housing and economic policy, personal finance, urban planning, and other current events. This role works closely with the communications team and your work product will be featured in top national publications, such as the New York Times or the Wall Street Journal and you would be a part of the national dialogue on the housing market. This role will also work with our content marketing team on initiatives that improve Redfin&rsquo;s SEO and drive traffic to Redfin.com.</p><p></p><p><b>
The Role</b></p><ul><li><p>
Own the automated processes that create Redfin&rsquo;s housing market data from various internal and external data sources</p></li><li><p>
Work with our economics team to develop and deploy a suite of self service tools, including Tableau dashboards, to share our housing market data with internal and external audiences</p></li><li><p>
Create custom pulls from existing data sources to drive media reports and support content marketing goals</p></li><li><p>
Become an expert on the architecture of the data sources that the economics team relies on</p></li><li><p>
Work our stakeholders to troubleshoot data anomalies</p></li><li><p>
Work with engineering teams to bring additional data to the economics team</p></li></ul><p></p><p><b>
Desired Skills &amp; Experience</b></p><ul><li><p>
Bachelor&rsquo;s degree in statistics, computer science, mathematics, operations research, or a related field and 2+ years of experience</p></li><li><p>
Advanced SQL (including performance tuning) and Python skills</p></li><li><p>
Experience with data visualization tools such as Tableau, PowerBI, Looker as well as Git</p></li><li><p>
Experience using AI code generation tools tools such as Snowflake Intelligence and GitHub CoPilot, strongly desired</p></li><li><p>
Understanding of data lake/warehouse architectures such as BigQuery, Databricks, Snowflake, Redshift, etc.</p></li><li><p>
Experience with orchestration tools like Airflow and statistical software packages such as R a plus</p></li><li><p>
Excellent communication skills and ability to collaborate effectively with both engineers and non-engineers</p></li><li><p>
Experience with data modelling and requirements gathering</p></li><li><p>
Housing-market and economics experience is a plus but not required
</p></li></ul><p></p><p><b>The compensation information below is provided in compliance with all applicable disclosure requirements.</b><b>
</b></p><p></p>Base Pay Range: $74,400.00 - 111,300.00. Actual base pay will depend on varying circumstances, including the position, location, individual qualifications, market finances, and other operational business needs. Compensation may also include bonuses and equity.<p></p>
We offer a generous benefits package including flexible vacation that supports the importance of time away from work for rest and relaxation, 12 paid holidays, paid parental leave, sick leave (accrued at 1 hour for every 30 hours worked), medical, dental, and vision insurance benefits, flexible spending account, health savings account, life and disability insurance, fertility benefits, Employee Assistance Programs, and 401(k) employer match.
#LI-Hybrid<p></p><p><b>
Redfin is an equal opportunity employer committed to hiring a diverse workforce.</b></p><p></p><p>
A diverse, inclusive culture is vital to Redfin's mission of making real estate better for people from all walks of life. We&rsquo;re proud that Redfin is a place where different points of view and backgrounds are encouraged and respected. We constantly strive to build a company that reflects the world around us, based on our conviction that pursuing and developing talent of all types is the right way for a business to thrive over the long haul.</p><p></p><p>
Redfin provides equal employment opportunities to all employees and applicants for employment and prohibit discrimination based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, and any other characteristic protected by applicable federal, state or local law. If you need accommodation in the application or recruitment process because of a disability or special need, please contact recruitingteam@redfin.com</p><p></p><p>
Redfin encourages individuals with criminal record histories to apply for employment and considers such individuals for employment consistent with the requirements of any applicable fair chance acts, including but not limited to the California, San Francisco and Los Angeles County Fair Chance Acts. Philadelphia applicants can access a copy of Philadelphia Fair Criminal Records Screening Standards ordinance poster here.</p><p></p><p>
Redfin accepts applications on an ongoing basis.</p></div><p></p>

Business Intelligence Engineer II

Expedia Group

<div><p>Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.</p><p></p><p><b>
Why Join Us?</b></p><p>
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.</p><p></p><p>
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We&rsquo;re building a more open world. Join us.</p><p></p><p><b>
Software Development Engineer II - Full Stack:</b></p><p></p><p>
Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.</p><p></p><p>
Expedia's Service Data team is seeking a skilled and enthusiastic Software Development Engineer proficient in data engineering and software development. This role entails designing, developing, and implementing batch and real-time ETL pipelines to generate domain datasets, providing essential insights to partners and decision-makers. Additionally, the role requires expertise in frontend and backend development to enhance user interfaces, delivering actionable insights to stakeholders. Collaborating across departments and organizational levels, the candidate will understand requirements, design solutions, and add value through an agile development approach.
</p><p></p><p>The ideal candidate will demonstrate technical and functional proficiency in building data streaming and backend applications from the ground up. Effective collaboration within cross-functional teams is crucial for successful project delivery. Key attributes for this role include an energetic attitude, innovative problem-solving skills, a passion for technology and data, excellent communication and relationship-building abilities, as well as adaptability in approach and design.
</p><p></p><p><b>In this role, you will:</b>
</p><ul><li><p>Join our development team and engage in all stages of the software development lifecycle, including requirements gathering, design, development, testing, deployment, and maintenance
</p></li><li><p>Address intricate business challenges using disciplined development methodologies, crafting scalable, flexible, and efficient solutions with suitable technologies
</p></li><li><p>Offer innovative and straightforward resolutions to complex issues, prioritizing execution and fostering a culture of experimentation and learning
</p></li><li><p>Produce clean, well-documented code to ensure clarity and maintainability
</p></li><li><p>Continuously refine our development and delivery processes to optimize efficiency and effectiveness.
</p></li><li><p>Contribute to a collaborative and supportive software development environment, fostering mutual learning and innovation through peer code reviews
</p></li><li><p>Provide guidance and mentorship to junior developers, aiding in their understanding and implementation of project methodologies
</p></li><li><p>Adapt to changing priorities and business requirements, remaining flexible in approach and willing to learn new technologies and methodologies as needed
</p></li><li><p>Possess excellent communication skills, effectively conveying ideas to colleagues and stakeholders, while providing thorough explanations of approaches. Maintain comprehensive documentation to ensure clarity and transparency
</p></li><li><p>Demonstrated capability to collaborate effectively across peers, leaders, and various business units
</p></li><li><p>Derive satisfaction from and value the collective achievements of the team
</p></li></ul><p></p><p><b>Minimum qualifications:</b>
</p><ul><li><p>Bachelor&rsquo;s degree in Business, Computer Science, Information Systems, or equivalent relevant professional experience.</p></li><li><p>
2+ years of experience in data engineering and software development</p></li><li><p>
Experience in Agile methodology is essential, with the capacity to work under pressure and meet deadlines with quality
</p></li><li><p>Experience with relational databases and NoSQL distributed databases (e.g. ScyllaDB, MongoDB)
</p></li><li><p>Proficiency in a development language such as Python, Scala, Kotlin, or similar
</p></li><li><p>Knowledge of stateful stream processing (e.g. Faust, Java KafkaConsumer, KafkaProducer and KafkaStreams)
</p></li><li><p>Familiarity with frontend and backend development frameworks and libraries, such as React.js, Node.js or similar
</p></li><li><p>Experience with version control systems such as Git</p></li></ul><p></p><p><b>
Preferred qualifications:</b></p><ul><li><p>
High level of technical expertise, adept at problem-solving and applying critical thinking
</p></li><li><p>Solid grasp of software design principles, algorithms, and data structures
</p></li><li><p>Previous experience with distributed systems and fault tolerance development
</p></li><li><p>Experience with AWS Cloud technology for scalability and reliability
</p></li><li><p>Experience with Apache Spark, Spring Framework and Confluent Kafka
</p></li><li><p>Experience with continuous integration/continuous deployment (CI/CD) pipelines</p></li></ul><p></p>
The total cash range for this position in Seattle is $112,000.00 to $156,500.00. Employees in this role have the potential to increase their pay up to $179,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.<p></p><p>
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual&rsquo;s knowledge, skills, and experience. Pay ranges may be modified in the future.</p><p></p><p>
Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee&rsquo;s passion for travel, we offer a wellness &amp; travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.</p><p></p><p><b>
Accommodation requests</b></p><p>
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.</p><p></p><p>
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.</p><p></p><p>
Expedia Group's family of brands includes: Brand Expedia&reg;, Hotels.com&reg;, Expedia&reg; Partner Solutions, Vrbo&reg;, trivago&reg;, Orbitz&reg;, Travelocity&reg;, Hotwire&reg;, Wotif&reg;, ebookers&reg;, CheapTickets&reg;, Expedia Group&trade; Media Solutions, Expedia Local Expert&reg;, CarRentals.com&trade;, and Expedia Cruises&trade;. &copy; 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50</p><p></p><p>
Employment opportunities and job offers at Expedia Group will always come from Expedia Group&rsquo;s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you&rsquo;re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.</p><p></p>
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.</div>

Software Development Engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/<br>
<br>
About Us:<br>
<br>
Twitch is the world&rsquo;s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.<br>
We&rsquo;re about community, inside and out. You&rsquo;ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We&rsquo;re on a quest to empower live communities, so if this sounds good to you, see what we&rsquo;re up to on LinkedIn and X, and discover the projects we&rsquo;re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.<br>
<br>
About the Role<br>
<br>
IVS is building the future of interactive video and we are seeking a Data Infrastructure Engineer to design, build, and maintain the systems that power our data-driven organization. In this role, you will ensure that our data pipelines, storage, and processing systems are reliable, scalable, and optimized for analytics, machine learning, and business intelligence use cases. You will collaborate with data engineers, analysts, and software teams to create infrastructure that enables efficient and secure access to high-quality data.<br>
<br>
You Will<br>
<ul><li>Design, implement, and maintain scalable data infrastructure in AWS cloud</li><li>Build and optimize data pipelines (batch and streaming) to support analytics, reporting, and ML workloads.</li><li>Ensure data quality, reliability, and observability through monitoring, logging, and automated alerting.</li><li>Work closely with data engineering and analytics teams to understand requirements and deliver high-performance solutions.</li><li>Champion best practices for security, compliance, and governance in data infrastructure.</li><li>Identify opportunities to optimize performance and cost of data platforms.</li><li>Stay current with emerging tools, frameworks, and cloud services in the data infrastructure ecosystem.</li></ul><br>
Perks<br>
<ul><li>Medical, Dental, Vision &amp; Disability Insurance</li><li>401(k)</li><li>Amazon Employee Discount</li></ul></div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li><li>6+ years of experience in data engineering, DevOps, or infrastructure engineering roles.</li><li>Strong hands-on expertise with cloud platforms</li><li>Proficiency in data pipeline tools (e.g., Airflow, dbt, AWS Glue, Flink).</li><li>Experience with data storage technologies (e.g., Redshift, Snowflake, BigQuery, Delta Lake, Iceberg, Parquet).</li><li>Proficiency in GO, SQL, and Python for building and maintaining data systems.</li><li>Solid understanding of distributed systems and performance optimization.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with real-time data streaming and event-driven architectures.</li><li>Strong hands-on expertise with AWS cloud</li><li>Background in observability and monitoring</li><li>Knowledge of data governance, security, and compliance best practices</li><li>Prior experience supporting machine learning or advanced analytics environments.</li></ul><br>
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/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>

Senior Software Engineer - Infrastructure

Blue Origin

<div><div>Application close date:</div>
Applications will be accepted on an ongoing basis until the requisition is closed.<div></div><div>
At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We&rsquo;re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight!</div><div></div>
This role is part of the Blue Origin Engines business unit, where our focus is the design, development, manufacturing, and testing of engines and propulsion systems. Built for multiple uses, our family of engines is powering the next generation of rockets for commercial, civil, national security, and human spaceflight.<div></div><div>
As part of a hardworking team of specialists, you&rsquo;ll contribute to the development of Blue Origin&rsquo;s data strategy, and help design, test, and deploy standard processes for teams working on advanced data science problems. This role requires a passion for our mission and vision, and will focus on driving emerging technology and data practices to the business, specifically within the domain of generative AI applications.</div><div></div><div>
We are looking for someone to apply their technical expertise, leadership skills, and commitment to quality to positively impact safe human spaceflight. Passion for our mission and vision is required!</div><div></div><div>
Safety is our utmost priority, and we are dedicated to creating a supportive environment where everyone can thrive. Join us in making space accessible and enabling millions of people to live and work in space, for the benefit of Earth.</div><div></div><div>
This position is open to be filled in our Kent, WA location.</div><div>
Become part of a team where your contributions will not only further your own career but also directly advance the frontiers of space exploration</div><div></div><div>
Key Responsibilities:</div><ul><li>
Work with Engine's AI Strategist to drive end-to-end project lifecycle for generative AI applications: develop relationships with customers, and collaborate with developers and business partners across the enterprise.</li><li>
Develop and implement machine learning, AI, and computer vision solutions using real-world data to solve complex problems.</li><li>
Own Physics-based Signal Processing Tool Development, Maintenance, and Support</li><li>
Write production code that implements NLP and LLM models and algorithms, ensuring high quality, scalability, and reliability.</li><li>
Advocate and work with partners to align the AI strategy for AI/ML adoption</li><li>
Research, identify, assess, and validate emerging technologies to increase the team&rsquo;s ML and AI capabilities.</li><li>
Own the data science, AI/ML strategy for Engines</li><li>
Partner with stakeholders to deliver Data Science products and collaborate with customers to understand business problems and explain technical solutions.</li><li>
Work in an agile environment to deliver fast-paced solutions that meet the needs of the business.</li><li>
Maintain technical responsibility, aid colleagues, and resolve technical issues through collaboration.</li></ul><div></div><div>
Qualifications:</div><ul><li>
BA/BS in computer science, information science, data science, or a related field with 8+ years of experience; 5+ years in data science, or 3+ years hands-on experience with computer vision models.</li><li>
Proven proficiency with Python, Spark, common data science libraries, and deep learning frameworks (e.g., PyTorch, Keras, TensorFlow, OpenCV).</li><li>
Experience with AWS services (e.g., SageMaker, Bedrock, EMR, S3, Step Functions, Lambda, EC2, Redshift, Glue, Batch, Elasticsearch).</li><li>
Solid understanding of statistical and machine learning (ML) techniques; experience with supervised, unsupervised, generative, semi-supervised, self-supervised modeling approaches.</li><li>
Ability to deploy solutions using tools such as GitLab, Docker, Kubernetes, and familiarity with visualization tools like Plotly/Dash, Javascript/D3/Go.js, and Streamlit. Comfortable working with both structured and unstructured data; experience with SQL, REST APIs, and custom scripting.</li><li>
Effective communicator capable of engaging and building trust with senior executives.</li></ul><div></div><div>
Desired Qualifications:</div><ul><li>
Masters or PhD in CS, Physics, Math, Engineering, or other STEM fields.</li><li>
Experience productizing vision-based models, time-series big-data processing, and applying advanced ML algorithms for anomaly detection.</li><li>
Familiarity with large language models (LLM), pre-training/fine-tuning techniques, and the open-source community (e.g., HuggingFace, StableDiffusion).</li><li>
Expertise in sophisticated model selection, hyper-parameter tuning, explainability techniques in deep learning models.</li><li>
Experience with fastapi/flask for model deployment and building visualizations.</li><li>
Track record of innovative literature research to develop novel Data Science applications.</li><li>
Experience with network/graph analysis, crafting visualizations, and Gurobi with LP/IP program optimization models.</li></ul><div></div><div><br>
Compensation Range for:</div>
WA applicants is $137,049.00-$191,868.60<div></div><div>
Other site ranges may differ</div><div></div><div>
Culture Statement</div><div>
Don&rsquo;t meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.</div><div></div><div>
Export Control Regulations</div><div>
Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.</div><div></div><div>
Background Check</div><ul><li><div>
Required for all positions: Blue&rsquo;s Standard Background Check</div></li><li><div>
Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation</div></li><li><div>
Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training.</div></li><li><div>
Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical</div></li></ul><div></div><div>
Benefits</div><ul><li><div>
Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program.</div></li><li><div>
Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.</div></li><li><div>
Discretionary bonus: Bonuses are designed to reward individual contributions as well as allow employees to share in company results.</div></li><li><div>
Eligibility for benefits varies by role type, please check with your recruiter for a comprehensive list of the benefits available for this role.</div></li></ul><div></div><div>
Equal Employment Opportunity</div><div>
Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws.</div><div></div><div>
Affirmative Action and Disability Accommodation</div><div>
Applicants wishing to receive information on Blue Origin&rsquo;s Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at <div>EEOCompliance@blueorigin.com</div>. Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.</div><div></div><div>
California Applicant Privacy Notice</div><div>
If you are a California resident, please reference the CA Applicant Privacy Notice <div>here</div>.</div></div>

Data Scientist

Apple

<div>Would you like to be a part of Apple&rsquo;s AI and Machine Learning org, where we encourage and create groundbreaking technology for multi-modal models with strong agent and reasoning capabilities? The Data and Machine Learning Innovation (DMLI) team is seeking a passionate Machine Learning Engineer to explore new methods, challenge existing metrics and protocols, and develop new insightful practices for real-world ML challenges. As a team member, you will work on some of the most ambitious technical challenges in the field. Your role will involve collaborating closely with our team of machine learning researchers, engineers, and data scientists. Together, you will spearhead groundbreaking research initiatives and develop transformative products designed to build for billions of users worldwide.<br>
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<b>Description</b><br>
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As a Machine Learning (ML) Engineer, you will be entrusted with the critical role of innovating and applying innovative research in foundation models to with a particular focus on audio data. This includes working across the full ML pipeline-from pre-training on large-scale unlabeled audio corpora to post-training evaluation and fine-tuning with task-specific datasets. The solutions you develop will have a significant impact on future Apple software and hardware products, as well as the broader ML ecosystem. Your responsibilities will extend to designing and developing a comprehensive multi-modal data generation and curation framework for foundation models at Apple. You will also contribute to building robust model evaluation pipelines that support continuous improvement and performance assessment. In addition, the role involves analyzing multi-modal data to better understand its influence on model behavior and outcomes. Furthermore, you will have the opportunity to showcase your groundbreaking research work by publishing and presenting at premier academic venues. YOUR WORK MAY SPAN VARIOUS APPLICATIONS, INCLUDING: Designing self-supervised and semi-supervised representation learning pipelines, and fine-tuning strategies for tasks like speech recognition and speaker identification. Applying data selection techniques such as novelty detection and active learning across multi modalities to improve data efficiency and reduce distributional gaps. Modeling data distributions using ML/statistical methods to uncover patterns, reduce redundancy, and handle out-of-distribution challenges. Rapidly learning new methods and domains as needed, and guiding product teams in selecting effective ML solutions.<br>
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<b>Minimum Qualifications</b><br>
<ul><li>
Deep technical skills in one or more machine learning areas, such as computer vision, audio, combinatorial optimization, causality analysis, natural language processing, and deep learning.</li><li>
Strong software development skills with proficiency in Python; hands-on experience working with deep learning toolkits like PyTorch, TensorFlow, or JAX (one of).</li><li>
5+ years of experience developing and evaluating ML applications, demonstrating a passion for understanding and improving model/data quality.&lsquo;</li></ul><br>
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Preferred Qualifications</b><br>
<ul><li>
Deep understanding of multi-modal foundation models.</li><li>
Staying up-to-date with emerging trends in generative AI and multi-modal LLMs.</li><li>
The ability to formulate machine learning problems, design, experiment, implement, and communicate solutions effectively with multi-functional teams.</li><li>
Demonstrated publication records in relevant conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, etc.).</li><li>
Track records of adopting ML to solve cross-disciplinary problems.</li></ul><br>
<b>
Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.<br>
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Apple employees also have the opportunity to become an Apple shareholder through participation in Apple&rsquo;s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple&rsquo;s Employee Stock Purchase Plan. You&rsquo;ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
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Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.<br>
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Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
Submit Resume</div>

AIML - Sr Machine Learning Engineer - Data and ML Innovation

<p></p><div><div><p>DESCRIPTION</p><div>
The core mission of AWS Marketing is to educate customers about cloud computing and our services. As a fast growing business, we get thousands of leads via events, webinars, website, and campaigns that we process, score, and pass the highest quality leads to our sales teams.<br>
<br>
Imagine building a platform that that will be built using AWS technologies to store millions of customer lead records, continuously keep their attributes updated based on factors like their demographics, marketing activities they engage with, products they show interest etc. Imagine working with global AWS Marketing and Sales leaders to understand the AWS buying process and building the engine that enables that end to end from ingesting leads to sending to Sales follow-up and then also building the feedback mechanism on performance. You and your team will build various modules which will be responsible for ingesting leads, enriching them with attributes that we gather from 3rd party and 1st party data, scoring the leads, and handing the highest quality leads to appropriate sales teams.<br>
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Key job responsibilities<br>
As Software Development Engineer for the AWS Lead Management Engineering team, you will join a fast growing tech organization with plenty of technical talent. You will develop a high quality, creative, technology platform that powers ingesting and passing along the highest quality leads to the AWS Sales teams. Your team will drive and own core innovations for our customers worldwide. You will closely interact with senior managers and stakeholders on a global scale, prioritizing and autonomously driving the full software development lifecycle for your team. You will work on critical projects that significantly contribute to the significant growth of AWS. You will make a huge, measurable impact to the AWS buying and lead management process, and build and innovate solutions that are simple and easy to maintain and scale. You are a strong technical leader. You are great at hiring, growing, and mentoring engineers, and at cultivating leadership capabilities.<br>
Are you an experienced software development leader, ready to challenge yourself to work hard, have fun, and make history with AWS? Come and join the AWS Marketing Lead Management team!</div></div><div><p><br>
BASIC QUALIFICATIONS</p><ul><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>1+ years of contributing to new and current systems architecture and design (architecture, design patterns, reliability and scaling) experience</li><li>Experience programming with at least one software programming language</li><li>Knowledge of professional software engineering &amp; best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence</li></ul></div><div><p>
PREFERRED QUALIFICATIONS</p><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Experience with common machine learning techniques such as pre-processing data, training, evaluation of classification and generative models</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div></div>
<br><div><div><p>Job details</p></div><ul><div><p><div>
USA, WA, Seattle</div></p></div><div><p><div>
Software Development</div></p></div></ul></div>

Software Development Engineer, AWS Marketing Integrated Demand Center

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