Logistics

Investor Services Administrator

HedgeServ is a leading global fund administrator with more than $450 billion in assets under administration across all investment vehicles including Hedge Funds, Private Equity Funds, UCITS, Hybrid Credit Managers, Funds of Funds and Managed Account Platforms. We optimize our clients’ experience using unique proprietary technology coupled with robotic process automation, intuitive digital programs powered by machine learning, and enhanced by an extensive proprietary transaction data set. HedgeServ’s entrepreneurial and innovative spirit cultivates a productive and agile environment enabling its team to anticipate clients’ needs and consistently deliver solutions in real time. Led by the most experienced team of industry experts, HedgeServ with 1,500 professionals around the globe expertly provides customizable solutions for their clients’ risk, portfolio management, middle office, investor relations, accounting, regulatory, compliance, and tax services. Since its inception in 2008, HedgeServ has received numerous accolades, including Top Overall Administrator and 1 rankings for Fund Accounting, Reporting & Reporting Technology, Client Service, Investor Services, Alternative Fund Expertise, and Regulatory Expertise. HedgeServ is a progressive company with continuously evolving ways of working to ensure a future-focused mindset. Our employees benefit from a robust career development framework and clear learning paths which outline career trajectory, training and progression plans. HedgeServ supports employees through a variety of offerings, including remote and hybrid working arrangements, and fully paid comprehensive health and well-being benefits. HedgeServ was recognized as a Next Gen employer by RippleMatch on its list of 100 top workplaces for Generation Z for 2022. HedgeServ operates 13 offices in the United States, Grand Cayman, Ireland, Poland, Bulgaria, Luxembourg, Philippines and Australia. Job Description An Investor Services Administrator will be required to execute the following tasks in the Investor Services Department. They shall be executed within the guidelines and procedures provided by HedgeServ and under the supervision and guidance of a supervisor and manger. Every Investor Services Administrator will receive the requisite Induction Training in addition to both compulsory training (AML/KYC) and optional training. Additional client-specific training is provided by the supervisor and manager within the team. Please note this role will be hybrid in Dallas, TX. Visa sponsorship will not be offered at this time. Role Responsibilities HedgeServ operates a client focused structure which provides a wide-range of experience to all levels of employee. As such the successful candidate should be flexible and willing to adapt. The below list is not finite and may be added to. The combination of tasks required to be executed will vary depending on both client structure and client requirements. Review investor transaction instructions to ensure all requisite information is provided. Follow up with investor for further clarification where required. Liaise with investors to obtain fully executed transaction instructions. Liaise with investors to ensure subscription proceeds are provided timely. Ensure appropriate AML/KYC documentation is provided by investors. Ensure appropriate FATCA/CRS documentation is provided by investors Input Investor Transactions on HedgeInvestor® (HedgeServ proprietary Investor Services System). Reconcile the subscription/redemption bank account daily, and notify all discrepancies to supervisor. Preparation of wire transfers to Prime Brokers, Investors and for payment of fees. Investor Reporting – prepare investor reports, including but not limited to Investor Statements and Contract Notes for distribution to investors. Client Reporting – prepare client reports, including but not limited to, Capital Activity Report, ERISA Report, Authorised Share Capital Reports for distribution to clients. General Investor Services – fielding general requests from investors including, but not limited to, requests for duplicate investors statements, enquiries on previous transaction activities, performance requests whilst at all times ensuring that all communication is with authorized person. Distribution of Fund Performance in line with client requirements. Preparation of investor audit requests. Establish good working relationship with other HedgeServ departments. Pre-Requisite Knowledge, Skills, and Experience Accounting, Finance, Legal or Business Degree 0 - 2 years of experience Flexible in terms of their approach and work ethic. Focused and results orientated Self-motivated and have the ability to work on their own as well as part of a team IT Literate Strong verbal and written communication skills Strong analytical skills A knowledge of Hedge Fund structures, and experience with Private Equity funds is a bonus but not a requirement

  • Rowlett, TX

  • no content

Junior Software Engineer

About Mechanize Mechanize builds reinforcement learning environments that frontier AI labs use to train and evaluate their coding models. Learn more at mechanize.work. Why the work matters AI models have gotten good at narrow coding tasks but still fail at the complex, judgment-heavy parts of software engineering. We build the environments that expose those failures and help models improve. What you'll do You'll design, build, and refine RL tasks. Each task is a self-contained software engineering challenge with a prompt, an environment, and an automated grader. You own the full lifecycle: coming up with the idea, implementing the grading infrastructure, running frontier models against the task, analyzing where and why they fail, and iterating until the task is rigorous and fair. Coming up with good task ideas requires being clever: finding situations where a frontier model will fail in interesting ways, which means seeing gaps that the model itself doesn't see. You will use coding agents heavily, and a large part of the job is directing them well, evaluating their output, and knowing when they are failing in subtle ways. What makes someone good at this Strong technical fundamentals combined with an intuition for AI model behavior. You need to anticipate where a model will take shortcuts, distinguish genuine capability gaps from grader issues, and understand how a model will interpret a prompt. Most engineers significantly underestimate what frontier coding agents can already do; candidates who have spent significant time working with them will have a real head start. Good fit if you: Have just graduated or are about to graduate Can code in Python Are confident working independently Are motivated by problems that require both technical skill and creative cleverness No prior ML or AI experience required We're happy to hire candidates who are very capable, even if they have no prior professional software experience. Probably not a good fit if you: Want a product engineering role building features for end users Prefer a highly collaborative team environment with shared ownership Want extensive structured mentorship This is independent, high-ownership work. You own your tasks from start to finish, with regular check-ins and feedback. Strong performers are recognized and promoted quickly. Benefits include health, dental, vision, and life insurance. Applying takes less than one minute. Interview process: https://www.mechanize.work/how-our-interview-process-works Learn more about the work: https://www.mechanize.work/what-working-here-is-like About Mechanize. ~20 person team in San Francisco. Backed by Patrick Collison, Nat Friedman, Daniel Gross, Jeff Dean, Dwarkesh Patel, and Sholto Douglas. Featured in the New York Times, the Dwarkesh Podcast and Hard Fork.

  • Mission District, CA

  • no content

Junior Software Engineer

About Mechanize Mechanize builds reinforcement learning environments that frontier AI labs use to train and evaluate their coding models. Learn more at mechanize.work. Why the work matters AI models have gotten good at narrow coding tasks but still fail at the complex, judgment-heavy parts of software engineering. We build the environments that expose those failures and help models improve. What you'll do You'll design, build, and refine RL tasks. Each task is a self-contained software engineering challenge with a prompt, an environment, and an automated grader. You own the full lifecycle: coming up with the idea, implementing the grading infrastructure, running frontier models against the task, analyzing where and why they fail, and iterating until the task is rigorous and fair. Coming up with good task ideas requires being clever: finding situations where a frontier model will fail in interesting ways, which means seeing gaps that the model itself doesn't see. You will use coding agents heavily, and a large part of the job is directing them well, evaluating their output, and knowing when they are failing in subtle ways. What makes someone good at this Strong technical fundamentals combined with an intuition for AI model behavior. You need to anticipate where a model will take shortcuts, distinguish genuine capability gaps from grader issues, and understand how a model will interpret a prompt. Most engineers significantly underestimate what frontier coding agents can already do; candidates who have spent significant time working with them will have a real head start. Good fit if you: Have just graduated or are about to graduate Can code in Python Are confident working independently Are motivated by problems that require both technical skill and creative cleverness No prior ML or AI experience required We're happy to hire candidates who are very capable, even if they have no prior professional software experience. Probably not a good fit if you: Want a product engineering role building features for end users Prefer a highly collaborative team environment with shared ownership Want extensive structured mentorship This is independent, high-ownership work. You own your tasks from start to finish, with regular check-ins and feedback. Strong performers are recognized and promoted quickly. Benefits include health, dental, vision, and life insurance. Applying takes less than one minute. Interview process: https://www.mechanize.work/how-our-interview-process-works Learn more about the work: https://www.mechanize.work/what-working-here-is-like About Mechanize. ~20 person team in San Francisco. Backed by Patrick Collison, Nat Friedman, Daniel Gross, Jeff Dean, Dwarkesh Patel, and Sholto Douglas. Featured in the New York Times, the Dwarkesh Podcast and Hard Fork.

  • Alameda Pt, CA

  • no content

Investor Services Administrator

HedgeServ is a leading global fund administrator with more than $450 billion in assets under administration across all investment vehicles including Hedge Funds, Private Equity Funds, UCITS, Hybrid Credit Managers, Funds of Funds and Managed Account Platforms. We optimize our clients’ experience using unique proprietary technology coupled with robotic process automation, intuitive digital programs powered by machine learning, and enhanced by an extensive proprietary transaction data set. HedgeServ’s entrepreneurial and innovative spirit cultivates a productive and agile environment enabling its team to anticipate clients’ needs and consistently deliver solutions in real time. Led by the most experienced team of industry experts, HedgeServ with 1,500 professionals around the globe expertly provides customizable solutions for their clients’ risk, portfolio management, middle office, investor relations, accounting, regulatory, compliance, and tax services. Since its inception in 2008, HedgeServ has received numerous accolades, including Top Overall Administrator and 1 rankings for Fund Accounting, Reporting & Reporting Technology, Client Service, Investor Services, Alternative Fund Expertise, and Regulatory Expertise. HedgeServ is a progressive company with continuously evolving ways of working to ensure a future-focused mindset. Our employees benefit from a robust career development framework and clear learning paths which outline career trajectory, training and progression plans. HedgeServ supports employees through a variety of offerings, including remote and hybrid working arrangements, and fully paid comprehensive health and well-being benefits. HedgeServ was recognized as a Next Gen employer by RippleMatch on its list of 100 top workplaces for Generation Z for 2022. HedgeServ operates 13 offices in the United States, Grand Cayman, Ireland, Poland, Bulgaria, Luxembourg, Philippines and Australia. Job Description An Investor Services Administrator will be required to execute the following tasks in the Investor Services Department. They shall be executed within the guidelines and procedures provided by HedgeServ and under the supervision and guidance of a supervisor and manger. Every Investor Services Administrator will receive the requisite Induction Training in addition to both compulsory training (AML/KYC) and optional training. Additional client-specific training is provided by the supervisor and manager within the team. Please note this role will be hybrid in Dallas, TX. Visa sponsorship will not be offered at this time. Role Responsibilities HedgeServ operates a client focused structure which provides a wide-range of experience to all levels of employee. As such the successful candidate should be flexible and willing to adapt. The below list is not finite and may be added to. The combination of tasks required to be executed will vary depending on both client structure and client requirements. Review investor transaction instructions to ensure all requisite information is provided. Follow up with investor for further clarification where required. Liaise with investors to obtain fully executed transaction instructions. Liaise with investors to ensure subscription proceeds are provided timely. Ensure appropriate AML/KYC documentation is provided by investors. Ensure appropriate FATCA/CRS documentation is provided by investors Input Investor Transactions on HedgeInvestor® (HedgeServ proprietary Investor Services System). Reconcile the subscription/redemption bank account daily, and notify all discrepancies to supervisor. Preparation of wire transfers to Prime Brokers, Investors and for payment of fees. Investor Reporting – prepare investor reports, including but not limited to Investor Statements and Contract Notes for distribution to investors. Client Reporting – prepare client reports, including but not limited to, Capital Activity Report, ERISA Report, Authorised Share Capital Reports for distribution to clients. General Investor Services – fielding general requests from investors including, but not limited to, requests for duplicate investors statements, enquiries on previous transaction activities, performance requests whilst at all times ensuring that all communication is with authorized person. Distribution of Fund Performance in line with client requirements. Preparation of investor audit requests. Establish good working relationship with other HedgeServ departments. Pre-Requisite Knowledge, Skills, and Experience Accounting, Finance, Legal or Business Degree 0 - 2 years of experience Flexible in terms of their approach and work ethic. Focused and results orientated Self-motivated and have the ability to work on their own as well as part of a team IT Literate Strong verbal and written communication skills Strong analytical skills A knowledge of Hedge Fund structures, and experience with Private Equity funds is a bonus but not a requirement

  • Lancaster, TX

  • no content

Software Engineering Intern

About Mechanize Mechanize builds reinforcement learning environments that frontier AI labs use to train and evaluate their coding models. Learn more at mechanize.work. Why the work matters AI models have gotten good at narrow coding tasks but still fail at the complex, judgment-heavy parts of software engineering. We build the environments that expose those failures and help models improve. What you'll do You'll design, build, and refine RL tasks. Each task is a self-contained software engineering challenge with a prompt, an environment, and an automated grader. You own the full lifecycle: coming up with the idea, implementing the grading infrastructure, running frontier models against the task, analyzing where and why they fail, and iterating until the task is rigorous and fair. Coming up with good task ideas requires being clever: finding situations where a frontier model will fail in interesting ways, which means seeing gaps that the model itself doesn't see. You will use coding agents heavily, and a large part of the job is directing them well, evaluating their output, and knowing when they are failing in subtle ways. What makes someone good at this Strong technical fundamentals combined with an intuition for AI model behavior. You need to anticipate where a model will take shortcuts, distinguish genuine capability gaps from grader issues, and understand how a model will interpret a prompt. Most engineers significantly underestimate what frontier coding agents can already do; candidates who have spent significant time working with them will have a real head start. Good fit if you: Are graduating in 2026 or 2027 Can code in Python Are confident working independently Are motivated by problems that require both technical skill and creative cleverness No prior ML or AI experience required Probably not a good fit if you: Want a product engineering role building features for end users Prefer a highly collaborative team environment with shared ownership Want extensive structured mentorship This is independent, high-ownership work. You own your tasks from start to finish, with regular check-ins and feedback. Strong performers are recognized and promoted quickly. Benefits include 401k, health, dental, vision, and life insurance. Applying takes less than one minute. Interview process: https://www.mechanize.work/how-our-interview-process-works Learn more about the work: https://www.mechanize.work/what-working-here-is-like About Mechanize. ~20 person team in San Francisco. Backed by Patrick Collison, Nat Friedman, Daniel Gross, Jeff Dean, Dwarkesh Patel, and Sholto Douglas. Featured in the New York Times, the Dwarkesh Podcast and Hard Fork.

  • South San Francisco, CA

  • no content

Senior Software Engineer

About Mechanize Mechanize builds reinforcement learning environments that frontier AI labs use to train and evaluate their coding models. Learn more at mechanize.work. Why the work matters AI models have gotten good at narrow coding tasks but still fail at the complex, judgment-heavy parts of software engineering. We build the environments that expose those failures and help models improve. What you'll do You'll design, build, and refine RL tasks, owning the full lifecycle from ideation through grading, failure analysis, and iteration. At this level, we expect you to work on our most complex tasks: environments involving multi-step workflows, realistic stakeholder interactions, large codebases with real conventions and technical debt, or challenging system design problems. You will use coding agents heavily, and a large part of the job is directing them well, evaluating their output, and knowing when they are failing in subtle ways. You will also contribute to shared infrastructure and tooling, and may take on mentorship responsibilities for newer team members. What makes someone good at this Deep software engineering experience across multiple domains, combined with a strong intuition for AI model behavior. You need to anticipate where a model will take shortcuts, distinguish genuine capability gaps from grader issues, and design tasks that target deeper, more subtle failure modes from areas you know well: infrastructure, distributed systems, performance, security, or other specializations. Good fit if you: Have deep expertise in at least one area of software engineering Can code in Python Are confident working independently on complex, ambiguous problems Have extensive experience working with coding agents No prior ML or AI experience required Probably not a good fit if you: Want a product engineering role building features for end users This is independent, high-ownership work. You own your tasks from start to finish, with regular feedback. Strong performers are recognized and rewarded. Benefits include health, dental, vision, and life insurance. Applying takes less than one minute. Interview process: https://www.mechanize.work/how-our-interview-process-works Learn more about the work: https://www.mechanize.work/what-working-here-is-like About Mechanize. ~20 person team in San Francisco. Backed by Patrick Collison, Nat Friedman, Daniel Gross, Jeff Dean, Dwarkesh Patel, and Sholto Douglas. Featured in the New York Times, the Dwarkesh Podcast and Hard Fork.

  • San Bruno, CA

  • no content

Software Engineer

Software engineers at Mechanize create RL environments to sell to the leading AI labs. You might be a good fit if you have 2-5 years of experience as a software engineer and can code in python. No prior machine learning or AI experience is required. Read about how our interview process works here: https://www.mechanize.work/how-our-interview-process-works/

  • El Cerrito, CA

  • no content

Senior Software Engineer

About Mechanize Mechanize builds reinforcement learning environments that frontier AI labs use to train and evaluate their coding models. Learn more at mechanize.work. Why the work matters AI models have gotten good at narrow coding tasks but still fail at the complex, judgment-heavy parts of software engineering. We build the environments that expose those failures and help models improve. What you'll do You'll design, build, and refine RL tasks, owning the full lifecycle from ideation through grading, failure analysis, and iteration. At this level, we expect you to work on our most complex tasks: environments involving multi-step workflows, realistic stakeholder interactions, large codebases with real conventions and technical debt, or challenging system design problems. You will use coding agents heavily, and a large part of the job is directing them well, evaluating their output, and knowing when they are failing in subtle ways. You will also contribute to shared infrastructure and tooling, and may take on mentorship responsibilities for newer team members. What makes someone good at this Deep software engineering experience across multiple domains, combined with a strong intuition for AI model behavior. You need to anticipate where a model will take shortcuts, distinguish genuine capability gaps from grader issues, and design tasks that target deeper, more subtle failure modes from areas you know well: infrastructure, distributed systems, performance, security, or other specializations. Good fit if you: Have deep expertise in at least one area of software engineering Can code in Python Are confident working independently on complex, ambiguous problems Have extensive experience working with coding agents No prior ML or AI experience required Probably not a good fit if you: Want a product engineering role building features for end users This is independent, high-ownership work. You own your tasks from start to finish, with regular feedback. Strong performers are recognized and rewarded. Benefits include health, dental, vision, and life insurance. Applying takes less than one minute. Interview process: https://www.mechanize.work/how-our-interview-process-works Learn more about the work: https://www.mechanize.work/what-working-here-is-like About Mechanize. ~20 person team in San Francisco. Backed by Patrick Collison, Nat Friedman, Daniel Gross, Jeff Dean, Dwarkesh Patel, and Sholto Douglas. Featured in the New York Times, the Dwarkesh Podcast and Hard Fork.

  • Pacifica, CA

  • no content

Senior Software Engineer

About Mechanize Mechanize builds reinforcement learning environments that frontier AI labs use to train and evaluate their coding models. Learn more at mechanize.work. Why the work matters AI models have gotten good at narrow coding tasks but still fail at the complex, judgment-heavy parts of software engineering. We build the environments that expose those failures and help models improve. What you'll do You'll design, build, and refine RL tasks, owning the full lifecycle from ideation through grading, failure analysis, and iteration. At this level, we expect you to work on our most complex tasks: environments involving multi-step workflows, realistic stakeholder interactions, large codebases with real conventions and technical debt, or challenging system design problems. You will use coding agents heavily, and a large part of the job is directing them well, evaluating their output, and knowing when they are failing in subtle ways. You will also contribute to shared infrastructure and tooling, and may take on mentorship responsibilities for newer team members. What makes someone good at this Deep software engineering experience across multiple domains, combined with a strong intuition for AI model behavior. You need to anticipate where a model will take shortcuts, distinguish genuine capability gaps from grader issues, and design tasks that target deeper, more subtle failure modes from areas you know well: infrastructure, distributed systems, performance, security, or other specializations. Good fit if you: Have deep expertise in at least one area of software engineering Can code in Python Are confident working independently on complex, ambiguous problems Have extensive experience working with coding agents No prior ML or AI experience required Probably not a good fit if you: Want a product engineering role building features for end users This is independent, high-ownership work. You own your tasks from start to finish, with regular feedback. Strong performers are recognized and rewarded. Benefits include health, dental, vision, and life insurance. Applying takes less than one minute. Interview process: https://www.mechanize.work/how-our-interview-process-works Learn more about the work: https://www.mechanize.work/what-working-here-is-like About Mechanize. ~20 person team in San Francisco. Backed by Patrick Collison, Nat Friedman, Daniel Gross, Jeff Dean, Dwarkesh Patel, and Sholto Douglas. Featured in the New York Times, the Dwarkesh Podcast and Hard Fork.

  • Oakland, CA

  • no content

Investor Services Administrator

HedgeServ is a leading global fund administrator with more than $450 billion in assets under administration across all investment vehicles including Hedge Funds, Private Equity Funds, UCITS, Hybrid Credit Managers, Funds of Funds and Managed Account Platforms. We optimize our clients’ experience using unique proprietary technology coupled with robotic process automation, intuitive digital programs powered by machine learning, and enhanced by an extensive proprietary transaction data set. HedgeServ’s entrepreneurial and innovative spirit cultivates a productive and agile environment enabling its team to anticipate clients’ needs and consistently deliver solutions in real time. Led by the most experienced team of industry experts, HedgeServ with 1,500 professionals around the globe expertly provides customizable solutions for their clients’ risk, portfolio management, middle office, investor relations, accounting, regulatory, compliance, and tax services. Since its inception in 2008, HedgeServ has received numerous accolades, including Top Overall Administrator and 1 rankings for Fund Accounting, Reporting & Reporting Technology, Client Service, Investor Services, Alternative Fund Expertise, and Regulatory Expertise. HedgeServ is a progressive company with continuously evolving ways of working to ensure a future-focused mindset. Our employees benefit from a robust career development framework and clear learning paths which outline career trajectory, training and progression plans. HedgeServ supports employees through a variety of offerings, including remote and hybrid working arrangements, and fully paid comprehensive health and well-being benefits. HedgeServ was recognized as a Next Gen employer by RippleMatch on its list of 100 top workplaces for Generation Z for 2022. HedgeServ operates 13 offices in the United States, Grand Cayman, Ireland, Poland, Bulgaria, Luxembourg, Philippines and Australia. Job Description An Investor Services Administrator will be required to execute the following tasks in the Investor Services Department. They shall be executed within the guidelines and procedures provided by HedgeServ and under the supervision and guidance of a supervisor and manger. Every Investor Services Administrator will receive the requisite Induction Training in addition to both compulsory training (AML/KYC) and optional training. Additional client-specific training is provided by the supervisor and manager within the team. Please note this role will be hybrid in Dallas, TX. Visa sponsorship will not be offered at this time. Role Responsibilities HedgeServ operates a client focused structure which provides a wide-range of experience to all levels of employee. As such the successful candidate should be flexible and willing to adapt. The below list is not finite and may be added to. The combination of tasks required to be executed will vary depending on both client structure and client requirements. Review investor transaction instructions to ensure all requisite information is provided. Follow up with investor for further clarification where required. Liaise with investors to obtain fully executed transaction instructions. Liaise with investors to ensure subscription proceeds are provided timely. Ensure appropriate AML/KYC documentation is provided by investors. Ensure appropriate FATCA/CRS documentation is provided by investors Input Investor Transactions on HedgeInvestor® (HedgeServ proprietary Investor Services System). Reconcile the subscription/redemption bank account daily, and notify all discrepancies to supervisor. Preparation of wire transfers to Prime Brokers, Investors and for payment of fees. Investor Reporting – prepare investor reports, including but not limited to Investor Statements and Contract Notes for distribution to investors. Client Reporting – prepare client reports, including but not limited to, Capital Activity Report, ERISA Report, Authorised Share Capital Reports for distribution to clients. General Investor Services – fielding general requests from investors including, but not limited to, requests for duplicate investors statements, enquiries on previous transaction activities, performance requests whilst at all times ensuring that all communication is with authorized person. Distribution of Fund Performance in line with client requirements. Preparation of investor audit requests. Establish good working relationship with other HedgeServ departments. Pre-Requisite Knowledge, Skills, and Experience Accounting, Finance, Legal or Business Degree 0 - 2 years of experience Flexible in terms of their approach and work ethic. Focused and results orientated Self-motivated and have the ability to work on their own as well as part of a team IT Literate Strong verbal and written communication skills Strong analytical skills A knowledge of Hedge Fund structures, and experience with Private Equity funds is a bonus but not a requirement

  • Mesquite, TX

  • no content

Senior Software Engineer

About Mechanize Mechanize builds reinforcement learning environments that frontier AI labs use to train and evaluate their coding models. Learn more at mechanize.work. Why the work matters AI models have gotten good at narrow coding tasks but still fail at the complex, judgment-heavy parts of software engineering. We build the environments that expose those failures and help models improve. What you'll do You'll design, build, and refine RL tasks, owning the full lifecycle from ideation through grading, failure analysis, and iteration. At this level, we expect you to work on our most complex tasks: environments involving multi-step workflows, realistic stakeholder interactions, large codebases with real conventions and technical debt, or challenging system design problems. You will use coding agents heavily, and a large part of the job is directing them well, evaluating their output, and knowing when they are failing in subtle ways. You will also contribute to shared infrastructure and tooling, and may take on mentorship responsibilities for newer team members. What makes someone good at this Deep software engineering experience across multiple domains, combined with a strong intuition for AI model behavior. You need to anticipate where a model will take shortcuts, distinguish genuine capability gaps from grader issues, and design tasks that target deeper, more subtle failure modes from areas you know well: infrastructure, distributed systems, performance, security, or other specializations. Good fit if you: Have deep expertise in at least one area of software engineering Can code in Python Are confident working independently on complex, ambiguous problems Have extensive experience working with coding agents No prior ML or AI experience required Probably not a good fit if you: Want a product engineering role building features for end users This is independent, high-ownership work. You own your tasks from start to finish, with regular feedback. Strong performers are recognized and rewarded. Benefits include health, dental, vision, and life insurance. Applying takes less than one minute. Interview process: https://www.mechanize.work/how-our-interview-process-works Learn more about the work: https://www.mechanize.work/what-working-here-is-like About Mechanize. ~20 person team in San Francisco. Backed by Patrick Collison, Nat Friedman, Daniel Gross, Jeff Dean, Dwarkesh Patel, and Sholto Douglas. Featured in the New York Times, the Dwarkesh Podcast and Hard Fork.

  • El Cerrito, CA

  • no content

Field Engineer 1

About M.C. Dean M.C. Dean is Building Intelligence. We design, build, operate, and maintain cyber-physical solutions for the nation’s most mission-critical facilities, secure environments, complex infrastructure, and global enterprises. With over 7,000 employees, our capabilities span electrical, electronic security, telecommunications, life safety, automation and controls, audiovisual, and IT systems. Headquarters in Tysons, Virginia, M.C. Dean delivers resilient, secure, and innovative power and technology solutions through engineering expertise and smart systems integration. Why Join Us? Our people are passionate about engineering innovation that improves lives and drives impactful change. Guided by our core values—agility, expertise, and trust—we foster a collaborative and forward-thinking work environment. At M.C. Dean, we are committed to building the next generation of technical leaders in electrical, engineering, and cybersecurity industries. The Life Safety Group safeguards the environments where M.C. Dean’s clients operate—ensuring that life-saving systems function precisely as needed during emergencies. Their expertise supports business continuity, regulatory approval, and above all, the preservation of life. By integrating seamlessly with telecom, electrical, and security systems, this team enhances the resiliency and operational readiness of critical facilities. Responsibilities Plan and perform testing and inspection of large fire alarm systems per NFPA and local code standards, noting existing and potential deficiencies; Prepare accurate and timely inspection and service reports; Perform complete site surveys for potential PM inspections and FA system changes/modifications, prepare corresponding quotations; Program and service fire alarm systems of various models; Troubleshoot various FA systems; Perform pre-testing and final inspections for assigned projects; Develop and perform PITCO activities; Perform calculations including battery, NAC panel and system standby; Create redline drawings for as-built preparation; Complete job-related documents including ROC, Test Forms etc.; Ensure compliance with all applicable codes and standards. Perform online research, installation manuals, manufacture manuals to determine materials requirements and installation procedures. We offer an excellent benefits package including: A competitive salary Medical, dental, vision, life and disability insurance Paid-time off Tuition reimbursement 401k Retirement Plan Military Reserve pay offset Paid maternity leave OTHER DESIRED & CONTRACT REQUIRED SKILLS: Bachelor of Science degree is required for this position with 0 years of experience Complete Bootcamp Above average level of attention to detail and professional work ethic. Commitment to excellence and a high quality of work. Ability to function in a controlled, effective manner under stress. High level of customer service. Strong desire to continuously increase your skill set and take on more responsibility. Above average communication skills with customers, other field personnel, office staff and sub-contractors. CERTIFICATIONS: Possess NICET Fire Alarm Systems Level I or Pass NICET I exam within 90 days of employment and Pass NICET II exam within 180 days of employment Qualifications Abilities: The position requires the ability to lift, carry, and move objects weighing up to [50 pounds] on a regular basis. Candidates must demonstrate physical strength and stamina to perform various tasks, including but not limited to, loading, and unloading, operating equipment, and assisting in the transportation of various materials. Proper lifting techniques and safety protocols must be followed to ensure personal and team safety. Relocates a 12 foot stepladder without assistance. Works at various heights up to 60 feet and can climb and maintain balance on scaffolds, aerial lifts, catwalks and all types of ladders. Walks, climbs, lifts, squats, crawls, kneels, pushes, pulls and reaches overhead on a routine and repetitive basis. Possess good vision (may be corrected vision), the ability to see in color, and the ability to hear and communicate in English. May use a standard ladder without exceeding the weight limit while carrying tools. Tell when something is wrong or is likely to go wrong. It does not involve solving the problem, only recognizing there is a problem. Apply general rules to specific problems to produce answers that make sense. Combine pieces of information to form general rules or conclusions (including finding a relationship among seemingly unrelated events). See details at close range (within a few feet of the observer). Listen to and understand information and ideas presented through spoken words and sentences.

  • Wolf Trap, VA

  • no content