Engineering Journal Jobs in Oakland Ca Remote
443 positions found — Page 6
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
What you'll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keeping up with industry trends in recommendation systems
What we're looking for:
- 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Degree in computer science, machine learning, statistics, or related field
- Nice to have:
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-SA1
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$189,721—$332,012 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
What you'll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keeping up with industry trends in recommendation systems
What we're looking for:
- 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Degree in computer science, machine learning, statistics, or related field
- Nice to have:
- M.S. or PhD in Machine Learning or related areas
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-SA1
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$138,905—$285,982 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
Salary range:
The UC academic salary scales set the minimum pay at appointment. See the following table for the current salary scale for this position: . The current full-time salary range for this position is $75,301 - $199,722. Starting salary will be commensurate with highest degree, past college-level teaching experience, relevant industry experience and equity within the department.
Percent time:
17% -33%. Instructors teaching one course with three hours of lecture per week during the semester will normally be appointed at 33% time; exact percentages depend on contact hours and other assigned duties.
Anticipated start:
Fall semester (only): 8/1/2025-12/31/2025
Spring semester (only): 1/1/2026-5/31/2026
Academic-Year Appointments: 7/1/2025-6/30/2026
Review timeline:
Applications will be accepted and reviewed for department needs, through the final date. We typically review applications for annual course needs in February and August. If you wish to remain in the pool after the final date you will need to reapply.
Position duration:
Initial appointments may be for one semester or a full academic year.
Application Window
Open date: June 10, 2025
Most recent review date: Wednesday, Jun 25, 2025 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Thursday, Oct 1, 2026 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The Fung Fellowship at the University of California, Berkeley invites applications for a pool of part-time lecturer positions in Design and Technology Innovation should an opening arise. We seek candidates that have experience to teach a 3-unit fall and/or spring course for undergraduates who have been selected for the Fung Fellowship for Technology Innovations, a one-year program that develops leadership, teaming, storytelling, technology innovation, and human centered design. This lecturer pool has been generated in case of need for teaching for two courses: (1) Health + Tech Innovations course and (2) Conservation + Tech Innovations course. The number of positions may vary from semester to semester, depending upon the teaching needs of the School.
Candidates with a background in one or more of the following areas are encouraged to apply: Public Health, Conservation, Sustainability, Innovation, Design, Other health-technology, Human centered design, Student directed learning, Participatory design, Inclusive teaming and leadership, Experiential learning methods.
Teaching Responsibilities: We are seeking outstanding lecturers who can teach a design, project based course for the Fung Fellowship for Technology Innovations at the undergraduate level. The Fung Fellowship brings together students from diverse backgrounds and majors to develop technology solutions to address societal challenges facing our most marginalized populations.
General Duties: Curriculum development and teaching that involves an experiential approach to participatory learning that includes community engagement and innovative problem-solving. In addition to teaching responsibilities, general duties include: hold office hours, assign grades, advise students, support community and industry partnerships and other opportunities for students, prepare course materials (e.g., syllabus) and maintain the course website with support from the graduate student instructor (GSI).
Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the department is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.
Labor Contract:
Qualifications
Basic qualifications (required at time of application)
Bachelors degree or equivalent international degree required by date of application.
Additional qualifications (required at time of start)
Masters degree or equivalent international degree required by the start date of the job, or industry experience of 5 or more years.
Preferred qualifications
Experience teaching undergraduate-level innovation and design topics. An advanced degree, or equivalent degree, or 6 years work experience in the areas of Public Health, Conservation, Design, Innovation, or other health-technology related fields.
Application Requirements
Document requirements
Curriculum Vitae - Your most recently updated C.V.
Cover Letter - Please discuss prior teaching experience, teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
Teaching Evaluations - Evidence of teaching/course evaluations may be requested of the finalists.
(Optional)
Reference requirements
- 3 required (contact information only)
Apply link:
JPF04968
Help contact:
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.
The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
- "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
- UC Sexual Violence and Sexual Harassment Policy
- UC Anti-Discrimination Policy
- APM - 035: Affirmative Action and Nondiscrimination in Employment
Job location
Berkeley, CA
Job Description:
Mandatory to have working experience as SRE manager especially in Retail domain application support ( NOT CLOUD /DevOps)
Must have working knowledge on SRE principles such as Logs, metrics, availability metrics, uptime, ticket tracking, e-com services, ITIL framework specifically on Alerts, Incident, change management, CAB, Production deployments, Risk and mitigation plan, SLA, SLI, SLO
Hands on experience in Monitoring, Logging, Alerting, Dashboarding, and report generation in any observability tools Prefer DataDog or other tools such as Splunk/Dynatrace/ELK/Grafana). This engagement is a customer using Dynatrace,Splunk, PagerDuty hence it is good to have this expertise
Mandatory to have work experience in leading Level 2/Level 3 application support team based out of IND who provide 24x7 coverage.
Should know how to gather & communicate SRE requirement from customers and define SRE roadmap.
Working experience on how to gather requirements on health of applications, services to monitor, setting service levels.
Must have good knowledge on eCommerce platforms in microservice architecture, Sterling OMS , Retail Applications like XStore.
Should be able to lead P1 calls, brief about the P1 to customer, proactive in gathering leads/ customers into the P1 calls till RCA, PIR etc.
Should have knowledge on building process , framework by following ITSM principles, SOP, runbooks, handling any ITSM platforms (JIRA/ServiceNow/BMC Remedy)
Must know how to work with the Dev team, cross functional teams.
Should be able to generate WSR/MSR by extracting the tickets from ITSM platforms, present to customers and client leaders.
Manage overall SRE delivery, customer focus mindset , closely work with customer leaderships.
Preferred:
Be a client face at customer site collaborating with client leadership.
Ability to clearly communicate and understand a technical idea/concept.
Ability to work in a professional environment while interacting with peers and stakeholders, collaborating with offshore teams.
Excellent written and verbal communications skills.
Motivated, goal driven, influential, innovative, curious, and open minded, fun to work with, collaborator.
Capability to work with people in different time zones.
Ability to operate in a fast-paced, evolving environment and appropriately prioritize tasks, and keep abreast of the latest technology.
Collaborate with cloud architecture, infrastructure team, project management team, and technology services, management team.
Create and maintain detailed documentation.
Salary range:
The UC academic salary scales set the minimum pay at appointment. See the following table(s) for the current salary scale(s) for this position:
A reasonable estimate for this position is $1900 per unit, by agreement with Berkeley Summer Sessions.
Percent time:
Summer appointments are handled on a by-agreement basis
Review timeline:
Applications are typically reviewed for summer session course needs in April.
Position duration:
Applications will be accepted and reviewed for department needs through July 31, 2026. The pool will close July 31, 2026; applicants wishing to remain in the pool after that time will need to submit their applications anew.
Application Window
Open date: December 3, 2025
Most recent review date: Saturday, Feb 28, 2026 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Friday, Jul 31, 2026 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The College Writing Programs at the University of California, Berkeley, invites applications for a pool of qualified temporary instructors to teach summer courses in the College Writing Programs should openings arise. The number of positions varies from summer to summer, depending on the department's needs. All positions are handled on a by-agreement basis.
Programs include:
English Language and Culture: Our English for Academic and Specific Purposes courses are aimed at high-beginning through advanced-level students who want to enhance their English language skills, improve job performance, or undertake university work. Courses are offered both online and in person and are grounded in theme-based and project-based learning.
Creative Writing: Courses include short fiction and drama, nonfiction, poetry, and performance and reading. Most courses are 3-week workshops, although a few are in a longer 6-week format. They are offered both online and in person. A record of publication in creative writing is preferred for creative writing teaching candidates.
Public Speaking: We offer introductory, advanced, and online public speaking courses for lower-division students. All are in a 6-week format.
Reading and Writing in the Disciplines: Courses focusing on education; writing in the biological sciences, law, and business; and other disciplines are offered both online and in person.
Reading & Composition (Berkeley students): We offer online sections of required courses for Berkeley undergraduates, who receive priority enrollment. Instructors must be experienced in teaching composition. Course lengths vary from 8 to 10 weeks.
Job duties:
Successful applicants will teach one or more summer courses. Applicants will be responsible for all classes, including crafting syllabi, teaching in a classroom environment, and grading student work. Instructors will also be required to attend faculty meetings.
Successful applicants will be interested not only in teaching but also in being part of a faculty team. Participation in faculty development workshops and ongoing self-evaluation are important to our program.
UC lecturers are academic appointees and are represented by an exclusive bargaining agent, University Council - American Federation of Teachers (UC-AFT). This position is covered by the collective bargaining agreement of the UC-AFT.
Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in APRecruit to learn whether the department is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.
The department seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy. UC Berkeley is committed to supporting employees as they balance work and family.
Applicants are considered for positions as needs arise; the existence of this pool does not guarantee that a position is available.
Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.
Program: courses/summer
Qualifications
Basic qualifications (required at time of application)
- Completion of or enrollment in an advanced degree program
Additional qualifications (required at time of start)
- Completion of advanced degree
Preferred qualifications
All candidates
- Three (3) years experience teaching university-level students in your area of expertise
- An understanding of the ethics and use of GenAI in university settings
- Evidence of ongoing professional development
- Evidence of clear communication skills as presented in application materials
English Language and Culture
- A Masters' degree or higher, or equivalent international degree, in one of the following fields: TESL, TEFL, TEAL, applied linguistics, language teaching/education, - ESP discipline (i.e., business, law, science/technology)
- Experience working with adult ESL/EFL students in university-level courses
- Experience with content-, theme-, and project-based language teaching
- Experience living/working outside of the U.S. in a non-English speaking country
- Basic proficiency in a language other than English
Creative Writing
- MFA, MA, or PhD in Creative Writing, English, Journalism, or Comparative Literature
- A publication record in fiction, non-fiction, poetry, or feature journalism
Public Speaking - An MA, MFA, JD, or PhD in English, Education, Journalism, Law, Rhetoric, or Composition
Reading and Writing in the Disciplines
- An MA, PhD, MS, JD, MEd, in English, Composition Studies, or specific discipline (biology, law,, engineering, journalism, rhetoric, etc)
- Experience in the written discourse of the discipline, as demonstrated through publication or teaching experience
Reading & Composition
- An MA, MFA, or PhD. In Composition Studies, English, Comparative Literature, Rhetoric, or Education
- Knowledge and understanding of current approaches to teaching reading and writing
Application Requirements
Document requirements
Curriculum Vitae - Your most recently updated C.V.; no photographs; do NOT indicate age or marital status
Cover Letter
Up to 12 pages of sample teaching materials - A variety is encouraged to highlight teaching style: classroom materials, sample assignments, an instructor-designed syllabus, etc.
Reference requirements
- 2 required (contact information only)
Apply link:
JPF05194
Help contact:
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.
The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
- "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
- UC Sexual Violence and Sexual Harassment Policy
- UC Anti-Discrimination Policy
- APM - 035: Affirmative Action and Nondiscrimination in Employment
Job location
Berkeley, CA
Readily Available Interim Customer Support Lead | VC-Backed B2B Healthtech SaaS | Boston (Hybrid)
The Client
This client is an AI-powered healthtech startup born out of a multi-year collaboration between leading academic medical centers and top-tier engineering institutions in Europe. This business has developed patented algorithms and a proprietary clinical database to help practitioners improve ultrasound screening accuracy, reduce diagnostic errors, and optimize care pathways for expectant mothers. With a clear mission to expand access to high-quality women's and children's health outcomes through technology, they are now scaling rapidly across the United States; partnering with major clinical networks and onboarding new health system clients at an accelerating pace.
The Role
This is an opportunity to own and build a support function at a company experiencing hypergrowth in the US market. Reporting to the Director of Operations, this role is for someone who sees a blank slate as an opportunity. The customer base is scaling rapidly and this position will be responsible for building the support function that grows with it. The right candidate will be hands-on, close to the product and customers before building out the systems, tooling, and team capable of sustaining growth without compromising the experience
Responsibilities
- Handle tickets and calls directly to build deep product knowledge and earn customer trust
- Design and implement the core support ticket infrastructure: SLAs, escalation paths, and cross-functional workflows with Engineering and Product
- Optimize the CRM/ticketing environment (automations, reporting, routing) and build out a self-serve knowledge base including FAQs and troubleshooting guides
- Serve as the voice of the customer, translating support patterns and user feedback into actionable product insights
- Define and track key operational KPIs and build automations to drive ongoing efficiency
- Champion team autonomy and maintain quality standards throughout a period of significant scale
What We Need to See (Essential)
- 3-5 years of B2B SaaS experience in Technical Support, Customer Support, or Operations
- Experience in implementing modern support/ticketing platforms (e.g. Zendesk, Pylon or similar)
- Proficiency in maintaining & utilizing ticketing CRMs
- Demonstrated ability to thrive in hypergrowth environments and build processes from zero
- Comfort working across time zones (specifically West Coast)
- Genuine alignment with the company's mission in women's and children's health
What We’d Like to See (Bonus)
- Experience in a healthcare or regulated SaaS environment
- Familiarity with building or scaling a support function at a Series A-C stage company
- Experience with CRM automation and reporting
Location: Hybrid
Package: $60-80 per hour
Duration: 4 months
Remote working/work at home options are available for this role.
IDR is hiring for a 6 Month Contract to Hire Technical Product Owner
Join a leading organization in the data technology sector, where innovation and agility drive success. This fully remote role offers the opportunity to influence key data engineering initiatives, collaborating across diverse teams to deliver impactful digital products. If you're passionate about data solutions, thrive in fast-paced environments, and possess a strong technical acumen, this is your chance to make a difference and grow your career.
Position Overview for the Technical Product Owner:
• Act as a pivotal link between Data Engineering teams and business stakeholders to facilitate successful technology delivery across digital products
• Manage and prioritize data engineering product backlog, ensuring alignment with organizational objectives
• Author user stories and acceptance criteria, leading refinement sessions and sprint planning
• Lead Agile ceremonies including daily standups, sprint reviews, and retrospectives to ensure smooth delivery
• Utilize data and AI tools to analyze issues, optimize workflows, and maintain high quality in product artifacts
Requirements for the Technical Product Owner:
• Proven experience in stakeholder interaction and managing product backlogs in an Agile environment
• Strong documentation skills and the ability to communicate complex technical requirements effectively
• Proficiency with SQL, data engineering processes, and related technologies such as Azure SQL, Data Factory, SSIS, and Azure Data Lake
• Familiarity with Microsoft tech stack and data delivery tools is highly preferred
• Solid understanding of data engineering concepts and successful delivery of technical products
What's in it for you?
• Opportunity to work remotely with flexible hours, supporting a dynamic team that values innovation and autonomy
• Competitive pay rate of $60-68/hr, leading to an annualized salary of approximately $135,000 + 10% STIP
• Be part of a company with a strong focus on data-driven solutions and cutting-edge technology adoption
• Gain hands-on experience with AI-driven processes and advanced data engineering tools
Why IDR?
• 25+ Years of Proven Industry Experience in 4 major markets
• Employee Stock Ownership Program
• Dedicated Engagement Manager who is committed to you and your success
• Medical, Dental, Vision, and Life Insurance
• ClearlyRated's Best of Staffing Client and Talent Award winner 12 years in a row.
REMOTE
Remote working/work at home options are available for this role.
AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA
Title: AI Research Scientist
Location: San Jose, CA
Responsibilities:
- Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
- Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
- Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
- Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
- Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
- Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
- Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
- Contribute to academic publications and represent the company in research communities, as needed.
Educational Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
- Candidates with a master’s degree and exceptional research or industry experience will also be considered.
Industry Experience:
- 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
- Demonstrated success in delivering research-driven solutions that have been deployed in production.
- Experience collaborating in cross-functional teams across research, engineering, and product.
- Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.
Technical Skills:
- Strong foundational knowledge in machine learning and deep learning algorithms.
- Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
- Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
- Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
- Advanced programming skills in Python (preferred), C++, or Java.
- Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
- Strong mathematical foundations in probability, linear algebra, and calculus.
- Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
- Ability to translate research insights into roadmaps, technical specifications, and product improvements.
AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA
Remote working/work at home options are available for this role.
Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations.
Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent.
Visit us at to learn more and view our open positions.
Please apply or call one of us to learn more For further inquiries regarding the following opportunity, please contact our Talent Specialist, Vijay at (63 Title: Financial Analyst
- Hybrid Duration: 2 Months Location: Hybrid at Northbrook, IL Schedule: 8:00 AM
- 5:00 PM Note: The position reports to the Manager of Corporate Accounting, based at our Northbrook Headquarters, with flexibility to work from our Chicago office.
This is a hybrid role, requiring on-site presence three days per week.
Only W2 candidates are eligible for this position.
Third-party or C2C candidates will not be considered.
Description: Position Purpose: We are seeking a highly motivated and detail-oriented Senior Accountant to support global accounting operations, strengthen internal controls, and drive process improvements.
This role will play a key part in month-end close, cross-functional initiatives, and special projects.
The ideal candidate is analytical, proactive, and capable of operating independently in a fast-paced, collaborative environment.
Duties and Responsibilities: Lead and execute month end, quarter end, and year end close activities, including journal entries and account reconciliations Perform variance analysis and investigate discrepancies Support internal and external audit requests Support maintenance of Oracle Account reconciliation portal Maintain supporting documentation and schedules in compliance with SOX requirements Support both internal and external audits by providing requested materials and actively participating in walkthroughs and testing with auditors and internal stakeholders Contribute to various accounting and finance initiatives, including system implementations, process improvements, and other special projects as assigned Education and Experience: Bachelor's degree in accounting required Minimum 5 years of total accounting experience Knowledge of ERP: Oracle preferred, Oracle ARCS and Kyriba Experience with improvement initiatives and enhancements Ability to have a collaborative style and work with cross-functional and international teams Strong GAAP knowledge, analytical, and problem-solving skills Excellent verbal and written communication skills CPA certification preferred About us: DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond.
The strategic characteristics of the organization are Standardization, Specialization, and Collaboration.
DivIHN is an equal opportunity employer.
DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.
CPA, Oracle, GAAP, Oracle ARCS, Kyriba
Remote working/work at home options are available for this role.
Digital Analytics Manager (Hybrid)
Chicago, IL (Hybrid)
The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.
At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.
We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.
We have an opportunity at our corporate offices in Chicago for a Digital Analytics Manager on our Scientific Publication team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.
This role applies digital analytics to JAMA Network's social
media and communications strategy, independently managing complex tasks and
workflows, and delivering insights that enhance engagement and visibility. This
role drives innovation by proposing and implementing new approaches, and by
researching and recommending emerging analytics tools that align with JAMA Network's business goals. The role is responsible for
delivering quantifiable impact, improving operational efficiency, and
continuously optimizing audience engagement.
RESPONSIBILITIES:
Digital Analytics & Engagement Innovation- Apply analytics and data intelligence approaches to identify predictive insights and trend forecasts that inform content planning, audience targeting, and continuous performance optimization.
- Propose and implement innovative methods, including AI tools, automation, and advanced dashboards, to enhance social media workflows, operational efficiency, and content lifecycle management.
- Document and maintain scalable workflows, automation protocols, and system integrations to support long-term growth.
- Research, evaluate, and recommend new platforms or tools to ensure JAMA and the JAMA Network remain at the forefront of data-driven communications.
- Translate analytics findings into actionable recommendations for posting cadence, platform usage, and engagement tactics.
- Partner with the digital analytics team to monitor, analyze, and report on social media and news media performance across all key platforms.
- Conduct competitive benchmarking and social listening to identify emerging opportunities and inform proactive content and global engagement strategies.
Content Creation & Execution
- Partner with the Manager in scheduling and distributing editorial content across JAMA Network's social media platforms, aligning with audience behavior and engagement trends.
- Design and produce compelling, high-quality social media content, ensuring consistency with brand identity and audience expectations.
- Continuously monitor emerging social media platforms, tools, and trends, both domestically and internationally, to proactively identify opportunities for innovation and audience expansion.
Media Relations & Communications Intelligence
- Collaborate with the communications team to amplify global earned media coverage of JAMA Network journals across digital platforms, including integration into content calendars.
- Monitor media coverage and sentiment using digital monitoring tools and compile regular reports to assess reach, tone, and impact.
- Track and analyze media engagement metrics to evaluate campaign effectiveness and inform future outreach efforts.
- Leverage intelligence insights to identify emerging trends and international developments that may influence public perception, media narratives, or communications planning.
REQUIREMENTS:
1. Bachelor's degree required.
2. 5+ years of experience in social media, marketing, or communications, with strong knowledge of platform best practices.
3. 3+ years of experience in applying data analytics to communication work, including working knowledge of SQL (relational databases, Pivot Tables), and experience with dashboard development (e.g., GA4, Looker Studio, Tableau).
4. 2+ years of hands-on experience with automation tools and workflows, with the ability to support implementation of AI-driven solutions.
5. Strong analytical and problem-solving skills, with the ability to manage complex tasks, prioritize effectively, and continuously optimize processes.
6. Proven ability to translate data into actionable recommendations for communication planning.
7. Excellent written and verbal communication, combined with strong teamwork skills, for effective cross-functional collaboration.
The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.
This role is an exempt position, and the salary range for this position is $85,680.00 - $113,526.00. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.
We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.
THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION
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