Engineering Jobs in Oakland Ca Remote

Ray Therapeutics, Inc. is a clinical stage biotechnology company developing best-in-class vision restoration therapies for people with degenerative retinal diseases independent of genetic mutation.

We are currently seeking a highly motivated and detail-oriented VP of Quality and Compliance to join our team in the mission to restore vision to patients. This role will report to the Chief Development Officer

The selected candidate will work closely with our Clinical and CMC teams and establish the Quality Department. The VP of Quality and Compliance provides strategic and operational leadership for the Quality Assurance and/or Quality Control functions. The role is based in the Berkeley, CA office with a hybrid work from home/in office requirement and will require 15-20% domestic travel to our contract development and manufacturing organizations in the United States.

Position Overview:

The VP of Quality and Compliance provides strategic and operational leadership for the Quality Assurance and Quality Control functions. They are responsible for leading all quality control systems, regulatory compliance, and safety, ensuring products/services meet industry standards. They are responsible for clinical and CMC quality requirements, vendor management, internal and external compliance, and ensuring that AAV drug substance and product manufacturing, testing, and release meet FDA, EMA, and ICH regulatory standards, from clinical stage to commercialization.

The Vice President of Quality will establish, lead and develop the quality function, in line with the company's stage, while ensuring global regulatory, industry, and corporate standards are met. Reporting to the Senior Vice President of Regulatory Affairs this position will ensure the organization's compliance with the highest standards, including Good Manufacturing Practices (GMP), Good Laboratory Practices (GLP), Good Clinical Practices (GCP) and Good Pharmacovigilance Practices (GPV). This is a hands-on, strategic, and leadership role, ideal for a seasoned Quality executive passionate about small-molecule therapeutics in a dynamic biotech environment.

Essential Duties and Responsibilities:

• Oversee GXP and Data Integrity activities across various entities, investigator sites, clinical CROs and CMC CDMO’s
• Maintain efficient systems and processes that ensure RayTx and its vendor network comply with GXP standards
• Ensure the appropriate identification, evaluation, and management of risks associated with quality
• Build strong relationships with stakeholders, representing the company's interests and ensuring compliance with all relevant regulations
• Work closely with cross-functional teams to ensure that quality considerations are incorporated throughout the product development lifecycle
• Manage quality-related activities related to manufacturing, clinical trials, and nonclinical studies, including conducting audits of vendors and sites, providing support during health authority inspections, and offering guidance on quality issues
• Lead quality investigations and approve plans to address quality issues that impact products, as well as supervising corrective and preventive actions (CAPAs) for deviations and investigations
• Overseeing the development, implementation, and upkeep of quality systems and procedures, training records, batch records, quality metrics, standard operating procedures (SOPs) pertaining to GXP activities
• Prior experience establishing a Quality Department and growing a group.
• Strong knowledge and understanding of clinical trial design.
• Quality Management System (QMS) Oversight:Develop, implement, and maintain robust quality systems, including document control, change control, deviation management, and CAPA (Corrective and Preventive Actions).
• Provide expert quality oversight on AAV manufacturing processes, analytical method validations, and comparability studies.
• Prior experience developing GCP / GMP auditing plans.
• Regulatory Compliance: Ensure site compliance with global regulations (FDA, EMA) and lead audit readiness efforts (internal and external inspections).
• Batch Disposition: enact internal quality reviews of GMP batch records, and management of finalization and release of clinical or commercial AAV vectors.
• Vendor Management: Oversee quality agreements and audits for Contract Manufacturing Organizations (CMOs) and Contract Research Organizations (CRO’s).
• Team Leadership: Mentor and lead quality personnel, fostering a culture of quality, safety, and operational excellence

Qualifications and Experience:

• Minimum bachelor's degree in relevant scientific or engineering discipline.
• 8+ years relevant biotech experience.
• Experience in GMP AAV gene therapy manufacturing preferred.
• Knowledge of AAV analytical methods and testing preferred.
• Experience working with CDMO, CRO’s, and other external vendors preferred.
• Experience with clinical quality oversight, SOP generation
• Experience with vendor management and audit planning
• Excellent scientific knowledge and acumen.
• Familiarity with regulatory requirements and documentation
• Ability to travel up to 20%

Compensation Range and Benefits:

• The final salary offered for this position may take into account a number of factors including, but not limited to skills, education, and experience.
• Ray Therapeutics also offers annual performance-based bonus, annual equity awards and a comprehensive benefits package.

At Ray Therapeutics, we celebrate diversity and are committed to creating an inclusive environment for all employees; providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy, national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information, military and veteran status, and any other characteristic protected by applicable law.

All employment is decided on the basis of qualifications, merit, and business need.

Search Firm Representatives Please Read Carefully

Ray Therapeutics does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Please, no phone calls or emails.

Tool Room Manager – Medical Device Manufacturing (Bay Area, CA)

I’m supporting a leading medical device organization that is looking for a hands-on Tool Room Supervisor to lead the maintenance, repair, and optimization of 300+ complex injection molds — including hot runners, PEEK, and glass-filled materials.

This is a high-impact role overseeing a tool room team while driving mold performance, uptime, and continuous improvement across a fast-paced manufacturing environment.

What’s Offered:

• Competitive salary: $130K

• Relocation sign-on bonus for non–Bay Area candidates

• Medical, dental & vision (effective day 1)

• Company-paid life insurance & disability

• 401k with company match

• Generous PTO + 10 paid holidays

• Tuition reimbursement

• Additional perks: legal plan, pet insurance & home ownership program

If you have strong experience in injection mold repair, tooling, EDM, TIG welding, hot runners, or tool room leadership, I’d love to connect.

Interested? Send me your resume or best contact information or resume.

#injectionmolding #tooling #manufacturing #medicaldevices #hiring #toolroom #moldmaking #engineering #bayareajobs

About the Role

The Senior Manager, Technical Design, leads the end-to-end technical development of denim and non-denim apparel, ensuring products meet the highest standards of fit, quality, aesthetics, and manufacturability. This role partners closely with Design, Product Management, and Sourcing to deliver commercially viable products at scale, on time, and within margin targets. The position spans fit strategy, technical execution, factory collaboration, and team leadership across the full go-to-market cycle.

You’ll Make a Differency By

• Building and curating a best-in-class fit portfolio, researching competitive landscapes, pioneering new construction techniques, and championing product excellence
• Creating and overseeing product specifications and detailed technical sketches to ensure precision-engineered execution from prototype through production
• Owning the commercialization process, monitoring factory utilization of blocks, and ensuring fit and construction consistency across global vendor partners
• Leading fit sessions and clearly communicating fit corrections and pattern updates from prototype to production
• Partnering and influencing cross-functional partners to align with the fit intent and product vision
• Driving continuous improvement in product fit, quality, and process to elevate efficiency and consumer satisfaction
• Mentoring direct reports and strengthening technical skills, process rigor, and career growth
• Fostering open communication and a collaborative team environment across all stakeholders
• Contributing to additional initiatives needed to advance team and business goals
• Assisting with other responsibilities based on business needs

About You

• 15+ years of experience in technical design and product development for denim and non-denim adult bottoms, with deep expertise in fit, patternmaking, and body-to-garment relationships
• Proficient in apparel manufacturing processes and the full product development lifecycle
• Highly effective problem-solver who can manage complexity and multiple priorities with confidence
• Proven driver of innovation and continuous improvement
• Self-directed and thrives in a fast-paced, results-driven environment
• Excellent collaboration and influencing skills with a track record of building trusted cross-functional partnerships
• Agile and adaptable, with the ability to prioritize, work independently, and manage change effectively
• Exceptional written and verbal communication skills
• Detail-oriented with strong accuracy and follow-through
• Demonstrated people leader with experience attracting, developing, and retaining top technical talent
• Proficient in Adobe Illustrator and Microsoft Office (Word, Excel); experience with PLM and patternmaking systems (e.g., Accumark) is a plus
• BA or BS preferred

About Ariat

Ariat is an innovative, outdoor global brand with roots in equestrian performance. We develop high-quality footwear and apparel for people who ride, work, and play outdoors, and care about performance, quality, comfort, and style.

The salary range for this position is $132,000 - $141,000 per year.

The salary is determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data for geographic locations. Ariat in good faith believes that this posted compensation range is accurate for this role at this location at the time of this posting. This range may be modified in the future.

Ariat’s holistic benefits package for full-time team members includes (but is not limited to):

• Medical, dental, vision, and life insurance options
• Expanded wellness and mental health benefits
• Paid time off (PTO), paid holidays, and paid volunteer days
• 401(k) with company match
• Bonus incentive plans
• Team member discount on Ariat merchandise

Note: Availability of benefits may be subject to location & employment type and may have certain eligibility requirements. Ariat reserves the right to alter these benefits in whole or in part at any time without advance notice.

Ariat will consider qualified applicants, including those with criminal histories, in a manner consistent with state and local laws. Ariat is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis protected under federal, state, or local law. Ariat is committed to providing reasonable accommodations to candidates with disabilities. If you need an accommodation during the application process, email

Please see our Employment Candidate Privacy Policy at to learn more about how we collect, use, retain and disclose Personal Information.

Please note that Ariat does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Agreement, Ariat will not consider or agree to payment of any referral compensation or recruiter/agency placement fee. In the event a recruiter or agency submits a resume or candidate without a previously signed Agreement, Ariat explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted directly to hiring managers, are deemed to be the property of Ariat.

Open date: February 26, 2026

Next review date: Thursday, Mar 12, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Saturday, Mar 28, 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.

The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for a Professional Researcher at the Assistant, Associate, or Full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The researcher will conduct independent research at a level comparable to the Professor series.

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

This position will focus on advanced, independent research leading the ABC computational team to develop vision-transformer-based foundation machine learning models. The Researcher will work closely with an interdisciplinary team of optical physicists, engineers, and computational imaging researchers to achieve the ambitious goal of creating a generative AI model for segmenting and querying complex 4D high-resolution data of zebrafish development. This is an exciting opportunity to contribute to advancing biological imaging and AI-driven data analysis at the intersection of biology and computational science.

As this project grows, the individual will be expected to expand their leadership and adapt to the evolving scope of the research. The role will begin with leading efforts to supervise data collection and management, model development, and collaborating with leadership across the center. The researcher will build and manage a team of data scientists, and computational biologists to test AI-driven imaging models and will facilitate scientific collaborations with local, domestic, and international researchers. This position will take on a growing role and contribute to a groundbreaking initiative in biological imaging.

Key Responsibilities:

*Conduct and design independent research and lead a team of data scientists and software engineers to enable the development of state-of-the-art AI models for light sheet microscopy data.

*Collaborate with experts in optical physics, engineering, and computational imaging to support a foundational AI model for high-resolution developmental biology data.

*Conduct and lead experimental design, data acquisition, and data analysis pipelines to ensure optimal data quality.

*Facilitate and maintain scientific collaborations with local, domestic, and international researchers as the project expands.

*Publish research findings in high-impact journals and presenting at scientific conferences.

*Supervise and mentor graduate students, postdoctoral fellows, staff scientists, and academic research titles involved in machine learning and biological data analysis.

*Lead the development of new AI models and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.

*Oversee the design and development of new machine learning tools for petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry).

*Advise on applications of these tools for biological imaging; collaborate with graduate students, postdoctoral fellows and academic research titles on specific projects to test, learn and implement for general and specific use cases.

*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.

*Identify and study scaling laws for machine learning models on large-scale 5D light sheet datasets.

*Organize and plan on the design and development of new AI techniques to further ABC's mission.

Lab:

PhD (or equivalent international degree)

Two (2) years of post PhD research experience.

For consideration for Associate Researcher rank, a minimum of 8 years of post PhD research experience as a group leader or principal investigator (PI) supervising a team of PhD-level scientists in industry or academia.

For consideration for full Researcher rank, a minimum of 14 years post PhD research experience, including a minimum of 8 years of experience leading a team as a principal investigator (PI) at the university level or in industry with demonstrated success managing graduate students, postdoctoral researchers, technicians, or equivalent positions.

*PhD or equivalent international degree in Data Science, Computer Science, Bioinformatics or Related field.

*Hands-on experience with developing machine learning models for large-scale light sheet microscopy.

*Strong publication record indicating research independence and leadership.

*Excellent communication, organizational, and leadership skills.

*Proven track record of interdisciplinary collaboration, especially in integrating machine learning with biological research, physics, engineering, or computational fields.

*Demonstrated experience working with large-scale biological datasets, including experience with computational image analysis.

*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras.

*Demonstrated ability to work in a research team, manage active collaborations with other academic groups.

*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond).

*Expertise in programming in C/C++, MATLAB, Bash.

*Expertise in databases, data infrastructure, data governance.

*Expertise in high performance computing using SLURM or LSF.

*Experience with PyTorch, JAX, or Tensorflow.

*Experience with NVIDIA CUDA and related OpenMP programming.

*Experience with cloud services (AWS, GCP, Azure, etc.).

*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc.).

*Experience supervising and mentoring undergraduate/graduate students, and/or technicians.

*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers.

*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks.

*Expertise in leading teams in executing machine learning projects, as evidenced by last author peer-reviewed publications within their scientific discipline.

*Readiness to scale efforts and grow with the expanding scope of the project, including building and managing a team and facilitating collaborations.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.

  
  

• 3 required (contact information only)

Help contact:

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
  

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.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

As a Sr. Machine Learning Engineer at tvScientific, you'll build the ML and AI systems behind our Connected TV ad-buying platform: real-time bidding, campaign optimization, and incrementality measurement at scale. We're an adtech company solving a hard problem: making CTV advertising actually measurable. Our platform helps advertisers buy ads across the CTV ecosystem: Hulu, Pluto TV, Disney+, HBO Max, and hundreds of FAST channels: and prove that those ads drove real business outcomes.

What you'll do:

• 
  
• Write production Python that powers real-time bidding, model training, and campaign optimization
  
• Train, deploy, and monitor ML models that decide which ads to show, when, and at what price: millions of bid decisions per second
  
• Build and improve our incrementality measurement systems: helping advertisers understand the true causal lift of their CTV spend
  
• Design and implement new ML products across the ad-buying lifecycle: audience targeting, bid optimization, pacing, and attribution
  
• Use LLMs and generative AI to build internal tools that accelerate how we develop, test, and ship ML systems
  
• Serve as a technical lead and mentor on a distributed engineering team
  

What we're looking for:

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• Strong production Python skills: you write code that runs in prod, not just notebooks
  
• Solid statistics and ML fundamentals: you can reason about experiment design, model evaluation, and when simpler approaches beat complex ones
  
• Familiarity with modern AI tools and good judgment about where they add value
  
• Adtech or CTV experience: familiarity with RTB, programmatic advertising, supply-path optimization
  
• Clear written communication: we're a distributed team and writing is how decisions get made
  
• Comfort with ambiguity: you'll own problems end-to-end in a fast-moving environment, from scoping to shipping
  
• Nice-to-Haves:
  
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  • Teaching experience
    
  • Causal inference: uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
    
  • Big data experience with Scala and Spark
    
  • Systems programming experience in Zig or similar (C, C++, Rust)
    
  • Reinforcement learning or bandit algorithms in production
    
  • Experience building agentic AI systems or LLM-powered workflows
    
  • MLOps experience: model deployment, monitoring, and pipeline orchestration on AWS
    
  
  
  

In-Office Requirement Statement:

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• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

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• This position is not eligible for relocation assistance. Visit ourPinFlexpage to learn more about our working model.
  

#LI-SM4

#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.

Our Commitment to Inclusion: